NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 09:00-09:50 | 09:00-09:50 | Plenary Talk |
如何学习学习方法论? ——兼论大模型的本质 |
Zongben Xu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 09:50-10:40 | 09:50-10:40 | Plenary Talk |
Causal inspired and robust statistical machine learning |
Peter Lukas Bühlmann | ETH Zurich, Seminar for Statistics |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 11:00-11:25 | 11:00-11:25 | Invited Talk |
Convergence and Implicit Regularization of Deep Learning Optimizers |
Wei Chen | |
2 | 11:25-11:50 | 11:25-11:50 | Invited Talk |
Covariate adjustment in multi-armed, possibly factorial experiments |
Peng Ding | University of California Berkeley |
3 | 11:50-12:15 | 11:50-12:15 | Invited Talk |
An instrumental variable method for point processes |
Zhichao Jiang | |
4 | 12:15-12:40 | 12:15-12:40 | Invited Talk |
Introducing the specificity score: a measure of causality beyond P value |
Wang Miao |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Privacy preserving decentralized learning |
Lingchen Kong | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Huber Principal Component Analysis for Large-dimensional Factor Models |
Yong He | Shanong University |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Score function-based tests for ultrahigh-dimensional linear models |
Xu Guo | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Model-free screening procedure for ultrahigh-dimensional survival data based on Hilbert-Schmidt independence criterion |
Jing Zhang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
Mapping the Marginalized Groups with Presence-Only Data |
Le Bao | Penn State University |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Lagrangian Inference for Ranking Problems |
Xingyuan Fang | Duke University |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors |
Xiufan Yu | University of Notre Dame |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Model-Free Conditional Feature Screening with FDR Control |
Runze Li | Pennsylvania State University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 11:00-11:25 | 11:00-11:25 | Invited Talk |
From sparse to dense functional data in high dimensions: revisiting phase transitions from a non-asymptotic perspective |
Xinghao Qiao | |
2 | 11:25-11:50 | 11:25-11:50 | Invited Talk |
Statistical Learning and Matching Markets |
Wenxin Zhou | University of Illinois Chicago |
3 | 11:50-12:15 | 11:50-12:15 | Invited Talk |
A New Perspective on Empirical Likelihood-Based Inference for Nonparametric Regression: Robust Bias Correction and Wilks Phenomenon |
Shaojun Guo | Renmin University of China |
4 | 12:15-12:40 | 12:15-12:40 | Invited Talk |
Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data |
Wei Pan | University of Minnesota |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Individualized online policy optimization for functional data |
Shujie Ma | University of California, Riverside |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Exponential-Family Principal Component Analysis of Two-Dimensional Functional Data with Serial Correlation |
Kejun He | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Testing Linearity In Semi-Functional Partially Linear Regression Models |
Yongzhen Feng | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Estimation and inference of change points in locally stationary functional time series |
Weichi Wu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
Limiting distributions for eigenvalues of sample correlation matrices from heavy-tailed populations |
Jianfeng Yao | |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Asymptotics of the spiked eigenvalues of large signal plus noise matrices |
Guangming Pan | Nanyang Technological University |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
Sampling without replacement from a high dimensional finite population |
Jiang Hu | |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Clustering high-dimensional data: a mean-covariance-based apOn the asymptotic properties of the centerd and noncentered large dimensional signal-plus-noise models with their applications.proach |
YIMING LIU |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Sliced Inverse Regression with large structural dimension |
Qian Lin | |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
A Unified Generalization of Inverse Regression Via Adaptive Column Selection |
Wei Luo | |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Factor augmented inverse regression and its application to microbiome data analysis |
Tao Wang | |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
神经网络遇见随机森林 |
Zhou Yu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Optimal Individualized Treatment Rule For Combination Treatments Under Budget Constraints |
Annie Qu | University of California Irvine |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Differentially Private Data Release for Mixed-type Data via Latent Factor Models |
Yanqing Zhang | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Adaptive Designs and Precision Medicine |
Feifang Hu | George Washington University |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Seamless Phase II/III Clinical Trials with Covariate Adaptive Randomization |
HONGJIAN ZHU | AbbVie Inc. |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
Community detection for weighted bipartite networks |
Jingli Wang | |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Estimation of the number of spiked eigenvalues in a covariance matrix by bulk eigenvalue matching analysis |
Tracy Ke | Harvard University |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
Separating the Human Touch from AI-Generated Text using Higher Criticism |
Alon Kipnis | Reichman University |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
On PC Adjustments for High Dimensional Association Studies |
Rajarshi Mukherjee | Harvard University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 11:00-11:25 | 11:00-11:25 | Invited Talk |
A probability approximation framework with applications |
Lihu Xu | |
2 | 11:25-11:50 | 11:25-11:50 | Invited Talk |
Cramer's moderate deviations for martingales with applications |
Xiequan Fan | |
3 | 11:50-12:15 | 11:50-12:15 | Invited Talk |
Cramér-type Moderate Deviation for Quadratic Forms with a Fast Rate |
Songhao Liu | |
4 | 12:15-12:40 | 12:15-12:40 | Invited Talk |
Cramér-type moderate deviations for local dependent random variables |
Zhuosong Zhang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Deep Nonparametric Estimation: Approximation, Generalization, and Overparameterization |
Yuling Jiao | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint |
Yingqiu Zhu | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Nonasymptotic theory for two-layer neural networks: Beyond the bias-variance trade-off |
Wei Lin | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction |
Yuan Gao |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
An efficient tensor regression for high-dimensional data |
Guodong Li | University of Hong Kong |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Dimension agnostic change point detection |
Xiaofeng Shao | University of Illinois at Urbana-Champaign |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
A Two-Way Heterogeneity Model For Dynamic Networks |
Binyan Jiang | Hong Kong Polytechnic University |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Factor Modelling for Clustering High-dimensional Time Series |
bo zhang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 11:00-11:25 | 11:00-11:25 | Invited Talk |
Metric Distribution Function |
Xueqin Wang | |
2 | 11:25-11:50 | 11:25-11:50 | Invited Talk |
基于模拟学习方法论SLeM的元学习理论、算法与应用 |
Jun Shu | |
3 | 11:50-12:15 | 11:50-12:15 | Invited Talk |
Deep Over-parameterized Quantile Regression |
Xingdong Feng | Shanghai University of Finance and Economics |
4 | 12:15-12:40 | 12:15-12:40 | Invited Talk |
Differentiable Neural Networks With Repu Activation: With Applications To Score Estimation And Isotonic Regression |
Guohao Shen |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
A general M-estimation theory in semi-supervised framework |
Shanshan Song | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Semiparametric inference for quantile regression in imbalanced semi-supervised distributed system |
Shuyi Zhang | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Renewable Quantile Regression with Heterogeneous Streaming Datasets |
Xuerong Chen | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Deep Sufficient Representation Learning via Mutual Information". And the abstract is attached below |
Siming Zheng |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
Are Bond Returns Predictable with Real-Time Macro Data? |
Fuwei Jiang | |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Control interactive fixed effects with diversified projections |
Kunpeng Li | |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
Estimating Social Network Models with Missing Links |
Xi Qu | |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Estimation and Inference for Latent Group Structures with Structural Instabilities |
Yucheng Sun |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 11:00-11:25 | 11:00-11:25 | Invited Talk |
Causal structural learning for improving HIV testing and treatment access |
Yifan Jiang | |
2 | 11:25-11:50 | 11:25-11:50 | Invited Talk |
Learning Network Properties without Network Data -- A Correlated Network Scale-up Model |
Xiaoyue Niu | |
3 | 11:50-12:15 | 11:50-12:15 | Invited Talk |
婚姻状况变化率的贝叶斯估计与预测 |
Junni Zhang | |
4 | 12:15-12:40 | 12:15-12:40 | Invited Talk |
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations |
Zhenke Wu | University of Michigan, Ann Arbor |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Individual-centered partial information in social networks |
Xiao Han | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Estimating the Number of Communities with Individual-centered Partial Information |
Qing Yang | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals |
Fan Yang | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Spectral gap and edge universality of dense random regular graphs |
Yukun He |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
Flexible Functional Treatment Effect Estimation |
Raymond K. W. Wong | Texas A&M University |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Interpoint-Ranking Sign Covariance for Test of Independence |
Kehui Chen | University of Pittsburgh |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
Causal Inference on Distribution Functions |
Zhenhua Lin | National University of Singapore |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Theory of functional principal components analysis for noisy and discretely observed data |
Hang Zhou |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 11:00-11:25 | 11:00-11:25 | Invited Talk |
Estimating Heterogeneous Treatment Effect at High Quantiles for Heavy-Tailed Distributions |
Yanlin Tang | |
2 | 11:25-11:50 | 11:25-11:50 | Invited Talk |
A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models |
Yinrui Sun | |
3 | 11:50-12:15 | 11:50-12:15 | Invited Talk |
Augmented two-step estimating equations with nuisance functionals and complex survey data |
Puying Zhao | |
4 | 12:15-12:40 | 12:15-12:40 | Invited Talk |
Unified distributed inference for a class of problems with nonsmooth loss |
Zhongyi Zhu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Causal Mediation Analysis with a Three-Dimensional Image Mediator |
Yingchun Zhou | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Robust Covariate Balancing Method in Learning Optimal Individualized Treatment Regimes |
Wensheng Zhu | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
An efficient tensor regression for high-dimensional data |
Yingying Zhang | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Randomization-based joint central limit theorem and efficient covariate adjustment in stratified 2^K factorial experiments |
Yuehan Yang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
Change-point detection in a high-dimensional multinomial sequence based on mutual information |
Baisuo Jin | |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
A Generalized Knockoff Procedure for FDR Control in Structural Change Detection |
Jingyuan Liu | |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
Computationally efficient and data-adaptive changepoint inference in high dimension |
Guanghui Wang | |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Two-Sample and Change-Point Inference for Non-Euclidean Valued Time Series |
Feiyu Jiang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 11:00-11:25 | 11:00-11:25 | Invited Talk |
基于眼底图像简历糖尿病视网膜病变的诊断与预测模型 |
Xiuhua Guo | |
2 | 11:25-11:50 | 11:25-11:50 | Invited Talk |
Estimating COVID-19 Vaccine Protection Rates via Dynamic Epidemic Models |
Yuru Zhu | |
3 | 11:50-12:15 | 11:50-12:15 | Invited Talk |
Trends and characteristics of multiple births, premature births, and stillbirths in Shenzhen: A retrospective study over a decade |
Wenyi Tang | |
4 | 12:15-12:40 | 12:15-12:40 | Invited Talk |
Infinite Latent Feature Models for Mixed Malaria Infections |
Nianqiao Ju | Purdue University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
统计大数据治理及智能化应用实践 |
Shengchang Xiang | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Efficient Calibration of Numerical Model Outputs |
Hui Huang | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
基于人类行为实验的统计交叉科学研究 |
Lei Shi | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
去粗取精:法庭科学中的微量物证数据统计有效性鉴定 |
Xing Wang | STAT SCHOOL,RENMIN UNIVERISTY OF CHINA |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
Estimating graphical models for count data with applications to single-cell gene network |
Junjie Tang | |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Feature screening for clustering analysis with applications to single-cell RNA-seq data |
Ruibin Xi | |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
Improving cross-ancestry genetic prediction by leveraging portable genetic effects |
Lin Hou | |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
精神分裂症基于脑影像的功能网络分析:寻找TMS潜在靶点 |
Wei Zhao |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 11:00-11:17 | 11:00-11:17 | Contributed Talk |
由正交表构造的量子纠缠态 |
Shanqi Pang | |
2 | 11:17-11:34 | 11:17-11:34 | Contributed Talk |
Set Selection of the Number of Change-points with Confidence |
Ao Sun | |
3 | 11:34-11:51 | 11:34-11:51 | Contributed Talk |
Change-point estimation via feedforward neural networks with theoretical guarantee |
Houlin Zhou | |
4 | 11:51-12:08 | 11:51-12:08 | Contributed Talk |
A shape-based multiple segmentation algorithm for change-point detection |
Dan Zhuang | |
5 | 12:08-12:24 | 12:08-12:24 | Contributed Talk |
Online network change point detection with missing values and temporal dependence |
Haotian Xu | Penn State University |
6 | 12:24-12:40 | 12:24-12:40 | Contributed Talk |
A New Window-Limited CUSUM Procedure for Online Change Detection and its Data-Driven Robust Variant |
Liyan Xie | CUHK-Shenzhen |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:17 | 14:00-14:17 | Contributed Talk |
Practical operation and theoretical basis of difference-in-difference regression in science of science: The comparative trial on the scientific performance of Nobel laureates versus their coauthors |
Yurui Huang | |
2 | 14:17-14:34 | 14:17-14:34 | Contributed Talk |
中国养老保障体系平衡机制:制度目标和参量调整 |
Qiuting Li | |
3 | 14:34-14:51 | 14:34-14:51 | Contributed Talk |
A Stochastic Jump-process Driving Dynamic Model with Application to Traffic Safety |
Chen Qian | Virginia Tech |
4 | 14:51-15:08 | 14:51-15:08 | Contributed Talk |
无人驾驶汽车的市场调研 |
Hanqin Wu | |
5 | 15:08-15:24 | 15:08-15:24 | Contributed Talk |
绿色GDP发展战略规划 |
Lei Zhang | |
6 | 15:24-15:40 | 15:24-15:40 | Contributed Talk |
司法鉴定中的法庭统计学——证据评价方法与鉴定意见表述 |
Jiaye Xu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:20 | 16:00-16:20 | Contributed Talk |
Transfer Learning for High-dimensional Quantile Regression via Convolution Smoothing |
Yijiao Zhang | |
2 | 16:20-16:40 | 16:20-16:40 | Contributed Talk |
基于改进的嵌入物理的神经网络的海洋三维变量场反演 |
Ting Tian | |
3 | 16:40-17:00 | 16:40-17:00 | Contributed Talk |
深度学习在部分线性分位数回归模型中的应用 |
Qixian Zhong | |
4 | 17:00-17:20 | 17:00-17:20 | Contributed Talk |
Causal representation based on a GAE-embedded autoencoder for robust domain adaptation |
Kuang Zhou |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 11:00-11:20 | 11:00-11:20 | Contributed Talk |
Iterative Least Squares Algorithm for Large-dimensional Matrix Factor Model by Random Projection |
Ran Zhao | |
2 | 11:20-11:40 | 11:20-11:40 | Contributed Talk |
Necessary and sufficient conditions for the Marcenko-Pastur law for sample correlation matrices |
Zhaorui Dong | |
3 | 11:40-12:00 | 11:40-12:00 | Contributed Talk |
因子分析最小误差模型及其检验与应用 |
Li Shi | |
4 | 12:00-12:20 | 12:00-12:20 | Contributed Talk |
Matrix Kendall's tau in High-dimensions: A Robust Statistic for Matrix Factor Model |
Yalin Wang | |
5 | 12:20-12:40 | 12:20-12:40 | Contributed Talk |
Quasi-maximum likelihood estimation of break point in high-dimensional factor models |
Jiangtao Duan |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:17 | 14:00-14:17 | Contributed Talk |
分段非对称系统的随机共振及其在变转速旋转机械故障诊断中的应用 |
Qixiao Zhu | |
2 | 14:17-14:34 | 14:17-14:34 | Contributed Talk |
Early identification of 6- to 8-year-old children at risk of developing myopia:a comparison of machine learning and statistical approaches |
Hongyu Lai | |
3 | 14:34-14:51 | 14:34-14:51 | Contributed Talk |
The integrated approach of learning Mycobacterium tuberculosis transmission within and outside households via random directed graph models |
Tenglong Li | |
4 | 14:51-15:08 | 14:51-15:08 | Contributed Talk |
An embedding based kernel test: Does eyeglance matters prior to lane change? |
Jingbin Xu | |
5 | 15:08-15:24 | 15:08-15:24 | Contributed Talk |
基于时间尺度指标建立个体生存时间的动态预测模型——应用到原发性胆汁肝硬化疾病进展研究 |
Chengfeng Zhang | |
6 | 15:24-15:40 | 15:24-15:40 | Contributed Talk |
肾功能对急性小卒中或短暂性脑缺血发作患者中替格瑞洛联合阿司匹林及氯吡格雷联合阿司匹林的疗效及安全性影响 |
Anxin Wang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:20 | 16:00-16:20 | Contributed Talk |
High-frequency Anticipatory Trading and Its Influences: Small Informed Trader vs. Front-runner |
Ziyi Xu | |
2 | 16:20-16:40 | 16:20-16:40 | Contributed Talk |
Robust Backtests for Expected Shortfall |
Zaichao Du | |
3 | 16:40-17:00 | 16:40-17:00 | Contributed Talk |
Breaking the Factor Zootopia: Factor Selection Using Significant Tests of Multi-Task Lasso |
Chaoyi Zhao | |
4 | 17:00-17:20 | 17:00-17:20 | Contributed Talk |
Bias-corrected realized covariation in presence of price staleness |
Haibin Zhu | |
5 | 17:20-17:40 | 17:20-17:40 | Contributed Talk |
Network transitions in the cryptocurrency market: Evidence from military conflict |
Jeffrey Chu | Renmin University of China |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 11:00-11:20 | 11:00-11:20 | Contributed Talk |
Pursuing homogeneity and sparsity in simultaneous quantile regression |
Zhen Zeng | |
2 | 11:20-11:40 | 11:20-11:40 | Contributed Talk |
Distributed quantile regression for longitudinal big data |
Ye Fan | |
3 | 11:40-12:00 | 11:40-12:00 | Contributed Talk |
Bayesian Inference of Sample Selection Using Quantile Selection Model |
Lingnan Tai | |
4 | 12:00-12:20 | 12:00-12:20 | Contributed Talk |
Online Updating Huber Robust Regression for Big Data Streams |
Chunbai Tao | |
5 | 12:20-12:40 | 12:20-12:40 | Contributed Talk |
Robust Bilinear Probabilistic PCA using a Matrix Variate t distribution |
Jianhua Zhao |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:17 | 14:00-14:17 | Contributed Talk |
Error analysis of generative adversarial network |
Hailin Sang | University of Mississippi |
2 | 14:17-14:34 | 14:17-14:34 | Contributed Talk |
Clustered Federated Learning based on Nonconvex Pairwise Fusion |
Yifan Sun | |
3 | 14:34-14:51 | 14:34-14:51 | Contributed Talk |
Extrapolated Random Tree for Regression |
Yuchao Cai | |
4 | 14:51-15:08 | 14:51-15:08 | Contributed Talk |
Forecasting High Dimensional Long Memory Time Series based on Memory augmented Gated Recurrent Unit |
Muyi Li | |
5 | 15:08-15:24 | 15:08-15:24 | Contributed Talk |
Adversarial Learning of Distributional Reinforcement Learning |
Yang Sui | |
6 | 15:24-15:40 | 15:24-15:40 | Contributed Talk |
Improved Efficiency in Semiparametric Estimation for two-sample comparison in Semi-Supervised Learning Framework |
Tao Tan |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:17 | 16:00-16:17 | Contributed Talk |
基于CARR-OVMD-GRU模型的原油期货价格波动性预测 |
Rongrong Fan | |
2 | 16:17-16:34 | 16:17-16:34 | Contributed Talk |
Change Point Detection in Beta Process with High Frequency Data |
Long Feng | |
3 | 16:34-16:51 | 16:34-16:51 | Contributed Talk |
Capital Allocation with Asset Risks: Amortization by Investable Assets |
Ermo Chen | |
4 | 16:51-17:08 | 16:51-17:08 | Contributed Talk |
When Do Models Make Money? A Path from Return Predictability to Profitability |
Yufan Chen | |
5 | 17:08-17:24 | 17:08-17:24 | Contributed Talk |
Estimating market liquidity from daily data, marrying Micro structure models and machine learning |
Yuehao Dai | |
6 | 17:24-17:40 | 17:24-17:40 | Contributed Talk |
Group penalized multinomial logit models and stock return direction prediction |
Xuemei Hu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-09:20 | 08:30-09:20 | Plenary Talk |
When Statistics Meets Computing: A Few Interesting Problems and Challenges |
Tony Cai | University of Pennsylvania |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 09:20-10:10 | 09:20-10:10 | Plenary Talk |
Recent progress on random graph matching problems |
Jian Ding | Peking University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Ordinal Deep Learning for Gene-Environment Interaction analysis |
Kuangnan Fang | |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Spatio-temporally Smoothed Deep Survival Neural Network |
Chenjin Ma | |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Iterative Connecting Probability Estimation for Networks |
Yichen Qin | University of Cincinnati |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
Heterogeneous network estimation for single-cell transcriptomic data via neighborhood selection-based deep neural network |
Mengyun Wu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space |
Heng Lian | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Distributed Estimation and Inference for Semi-parametric Binary Response Models |
Yichen Zhang | Purdue University |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Decentralized Strongly Convex Optimization with Less Local First-Order Oracle Complexity |
Luo Luo | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Distributed Semi-Supervised Sparse Statistical Inference |
Xiaojun Mao |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
Mechanism Analysis and Impact Measurement of the Platform Economy's Social Welfare Effect: An Empirical Study based on the Questionnaire Survey of Merchants on MT Take-out Platform |
Yuezhou CAI | |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
On the Modelling and Prediction of High-dimensional Functional Time Series |
Jinyuan Chang | |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
High-dimensional Volatility matrix estimation using Generative Adversarial Networks (GAN) assisted Hybrid Monte Carlo (HMC) for high-frequency data |
Pu Gong | |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Multi-modal Knowledge Discovery and Pre-training Cross Vision and Language |
Zhongyu Wei |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Heteroskedastic Sparse PCA in High Dimensions |
Zhao Ren | University of Pittsburgh |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Regression Analysis of Correlations for Correlated Data |
Cheng Yong Tang | Temple University |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Some Recent Developments in Expected Shortfall Regression |
Wenxin Zhou | University of Illinois Chicago |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
Statistical inferences for complex dependence of multimodal imaging data |
Jing He |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Data Integration by Combing Non-probability Data and Big Observational Data for Finite Population Inference |
Xiaoning Wang | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Indirect Sampling Design and Estimation Method Based On Dual Sampling Frame |
Guanghui Chen | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Non-Probability Samples Fusion Inference Based On Bayesian Framework |
Yi Li | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Investigating an Alternative for Estimation from a Nonprobability Sample: Matching plus Calibration |
Zhan Liu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
How Can Robot Investment Assistant Help: Collecting Information or Providing Advice? Evidence from China |
琳 谭 | |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Disclosing and Cooling-Off: An Analysis of Insider Trading Rules |
Deng Jun | |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
A Two Time-Scale Evolutionary Game Theoretic Approach to Multi-Agent Learning |
Nan Chen | |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Spectral Volume Models: High-Frequency Periodicities in Intraday Trading Activities |
Lintong Wu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization |
Linglong Kong | University of Alberta |
2 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Uncovering the Law of Data Separation in Deep Learning |
Weijie Su | Wharton School, University of Pennsylvnania |
3 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing |
Michael Zhu | Purdue University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Community Detection of Discrete-time Temporal Networks under Dynamic Stochastic Block Models |
Binghui Liu | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Shrinkage Estimation for Large-dimensional Factor Model with an Observed Variable Network |
Long Yu | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Estimating cell-type-specific gene co-expression networks from bulk gene expression data |
Emma Jingfei Zhang | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Matrix-valued Network Autoregression Model with Latent Group Structure |
Xuening Zhu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
Simple measures of uncertainty for model selection |
Xiaohui Liu | |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality |
Sai Li | |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums |
Haishan Ye | Xi'an Jiaotong University |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Statistical Inference for Decentralized Federated Learning |
JIA GU |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Bayesian Quantile Regression with Big Data and Chang-Point Detection |
Keming Yu | Brunel University London |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Multistate modeling and structure selection for multi type recurrent events and terminal event |
Chuoxin Ma | |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Modelling biomarker variability in joint analysis of longitudinal and time-to-event data |
Chunyu Wang | MRC Biostatistics Unit, University of Cambridge |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
Horseshoe prior for joint-mean covariance model in sparse high dimensional data |
Jiaming Shen |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Estimation and Inference with Summary Statistics and its Genetic Applications |
Hongzhe Li | University of Pennsylvania |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Are Decision Trees as Powerful as Neural Networks? |
Jason Klusowski | Princeton University |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Learning Matchings, Maps, and Trajectories |
Jonathan Niles-Weed | New York University |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Robust Inference for Federated Meta-Learning |
Zijian Guo | Rutgers |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Supervised Topic Modeling: Optimal Estimation and Statistical Inference |
Ruijia Wu | |
2 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
Estimation and Inference in High-Dimensional Generalized Linear Models with Knowledge Transfer |
Linjun Zhang | Rutgers University |
3 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Theoretical Guarantees for Sparse Principal Component Analysis based on the Linear Manifold Approximation |
Haoyi Yang | The Pennsylvania State University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Adaptive False Discovery Rate Control with Privacy Guarantee |
Zhanrui Cai | The University of Hong Kong |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Slow Kill for Big Data Learning |
Yiyuan She | Florida State University |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
New Regression Model: Modal Regression |
Weixin Yao | University of California, Riverside |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
Tensor Learning in 2020s: Methodology, Theory, and Biomedical Applications |
Anru Zhang | Duke University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Large-Scale Analytical Platforms for Detecting Splicing-Associated Variants |
Yuichi Shiraishi | National Cancer Center |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Feature Selection and Classification over the network with Missing Node Observations with Application in Cancer |
Tianwei Yu | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Bayesian inference of Tumor Clonal Phylogeny from Single-cell DNA sequencing data |
Liang Ma | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Data integration in Spatial Transcriptomics |
Jin Liu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
A network approach to compute hypervolume under ROC manifold for multi-class biomarkers |
Jialiang Li | |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Poisson Hurdle Model-based Clustering for Microbiome Data |
Peng Liu | Iowa State University |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
Integrative analysis of 16S marker-gene and shotgun metagenomic sequencing data improves efficiency of testing microbiome hypotheses |
Yijuan Hu | Emory University |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Identification of Prognostic and Predictive Subgroups for Clustered Survival Data |
Ling Zhou |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model |
Dong Xia | Hong Kong University of Science and Technology |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Rising Ownership Network in China |
Wu Zhu | |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Network Regression and Supervised Centrality Estimation |
Dan Yang | The University of Hong Kong |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
A Joint Estimation Approach to Sparse Additive Ordinary Differential Equations |
Nan Zhang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation |
Jianguo Wu | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Thompson Sampling based Partially Observable Online Change Detection for Exponential Families |
Chen Zhang | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Harnessing Industrial Analytics and Intelligence for Digital Transformation |
Fugee Tsung | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Lattice-based designs possessing quasi-optimal separation distance on all projections |
Xu He |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
Test-Then-Pool: A uniformly valid inferential framework for data integration |
Shu Yang | North Carolina State University |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Inference of Heterogeneous Treatment Effects Using Observational Data with High-Dimensional Covariates |
Yumou Qiu | |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models |
Jiwei Zhao | University of Wisconsin-Madison |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Semiparametric adaptive estimation under informative sampling |
Kosuke Morikawa | Osaka University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Testing strict Stationarity of Complex Time Series |
Qiang Zhang | |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
FPLS-DC: Functional partial least squares through distance covariance for imaging genomics |
Wenliang Pan | |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Ball Impurity: Measuring Heterogeneity in General Metric Spaces |
Ting Li | Hong Kong Polytechnic University |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
On asymptotic normality of a random-localized independence test |
Roulin Wang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
数据生产要素核算——关于理论与方法的若干讨论 |
Jingping Li | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
数据资产、数字经济与经济发展 |
Zhongwen Zhang | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
SNA纳入数据核算的潜在影响与难点解析 |
Gang Peng | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
数据要素核算问题研究:基本概念及供给使用核算 |
Weiying Ping |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
预测朗格拉普岛核辐射强度的分布 |
Xiangyun Huang | |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
工业数据分析的实践与认识 |
Chunhua Tian | K2Data |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
GeoLake: Bringing Geospatial Support to Lakehouses |
Yuanyuan Zhang | BXCL |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
AI运动能否让你爱上运动-体育场景下AI应用探索 |
Wenyan Fu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Temporal label recovery from noisy dynamical data |
Wanjie Wang | National University of Singapore |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Deep survival prediction models and applications in cancer researches |
Zhangsheng Yu | |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
A unified quantile framework reveals nonlinear heterogeneous transcriptome-wide associations |
Tianying Wang | |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
STAARpipeline: an all-in-one rare-variant analysis tool for biobank-scale whole-genome sequencing data |
Zilin Li | Northeast Normal University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Early Identification of Autism Spectrum Disorder by Multi-instrument Fusion: A Clinically Applicable Machine Learning Approach |
Qiuhong Wei | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
Quantifying Measures of Treatment Effect on the Between-Group Difference in Competing Risks |
Zheng Chen | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Dose change and statistical power in the Aducanumab trial |
Guogen Shan | University of Florida |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
对外贸易、FDI与中国绿色全要素生产率 ——基于空间计量模型的分析 |
Jiahui Wu | |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Distribution-free Contextual Dynamic Pricing |
Wei Sun | Purdue University |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
深度学习和多源数据融合的股价预测模型-- 基于Transformer结构 |
Haiqing Chen | |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Development and Evaluation of Risk Prediction Models Using Two-Phase Data via Post-stratification |
Yaqi Cao |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:47 | 10:30-10:47 | Contributed Talk |
China's Inflation Forecasting with Machine Learning Algorithms |
Jie Xia | |
2 | 10:47-11:04 | 10:47-11:04 | Contributed Talk |
Estimating spot volatility under infinite variation jumps with dependent market microstructure noise |
Qiang Liu | |
3 | 11:04-11:21 | 11:04-11:21 | Contributed Talk |
Optimal Execution subject to Reservation Strategies |
鹏 郭 | |
4 | 11:21-11:38 | 11:21-11:38 | Contributed Talk |
数字经济对产业结构升级的影响研究 |
Xiaomei Hu | |
5 | 11:38-11:54 | 11:38-11:54 | Contributed Talk |
Copula-based multidimensional Markov process |
Liulei Sun | |
6 | 11:54-12:10 | 11:54-12:10 | Contributed Talk |
数字经济参与国内大循环的机制和空间特征 |
Xinyi Wei |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:20 | 14:00-14:20 | Contributed Talk |
Joint triplet sampling enables structure-preserved dimension reduction in single-cell transcriptomic data |
Xinyi Xu | |
2 | 14:20-14:40 | 14:20-14:40 | Contributed Talk |
Importance Sparsification for Sinkhorn Algorithm with Application in Efficient Echocardiogram Analysis |
Cheng Meng | |
3 | 14:40-15:00 | 14:40-15:00 | Contributed Talk |
多基因风险评分与吸烟者大脑加速老化之间的关系 |
Zeyu Yang | |
4 | 15:00-15:20 | 15:00-15:20 | Contributed Talk |
基于个体结构协变网络解决阿尔茨海默病的异质性 |
Chuchu Zheng | |
5 | 15:20-15:40 | 15:20-15:40 | Contributed Talk |
High-dimensional Response Growth Curve Modeling for Longitudinal Neuroimaging Analysis |
Lu Wang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:17 | 16:00-16:17 | Contributed Talk |
Kernel Copula Density Estimation of Hellinger Correlation |
Wenjing Liu | |
2 | 16:17-16:34 | 16:17-16:34 | Contributed Talk |
MSAEM Estimation for Multidimensional Four–Parameter Normal Ogive Models |
Xiangbin Meng | |
3 | 16:34-16:51 | 16:34-16:51 | Contributed Talk |
Generalized Two-Mode Latent Space Model |
Dan Pu | |
4 | 16:51-17:08 | 16:51-17:08 | Contributed Talk |
Functional Two-Sample Test based on Projection |
Caihong Qin | |
5 | 17:08-17:24 | 17:08-17:24 | Contributed Talk |
Mean regression model for the zero-truncated Poisson distribution and its generalization |
Jianhua Shi | |
6 | 17:24-17:40 | 17:24-17:40 | Contributed Talk |
A Simple Divide-and-Conquer-based Distributed Method for the Accelerated Time Failure Model |
jin su |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:47 | 10:30-10:47 | Contributed Talk |
Fitting additive risk models using auxiliary information |
Jie Ding | |
2 | 10:47-11:04 | 10:47-11:04 | Contributed Talk |
Improving marginal hazard ratio estimation using quadratic inference functions |
Yi Niu | |
3 | 11:04-11:21 | 11:04-11:21 | Contributed Talk |
Semiparametric model averaging method for survival probability predictions of patients |
Mengyu Li | |
4 | 11:21-11:38 | 11:21-11:38 | Contributed Talk |
Mixture Cure Model with both Semiparametric Components for Interval-Censored Data |
Xiaoyu Liu | |
5 | 11:38-11:54 | 11:38-11:54 | Contributed Talk |
Degradation modeling and remaining useful lifetime prediction based on functional variance process |
Linjie Qin | |
6 | 11:54-12:10 | 11:54-12:10 | Contributed Talk |
图函数型时间序列的主成分分析(Principal Component Analysis of Graphical-Functional Time Series) |
Jianbin Tan |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:17 | 14:00-14:17 | Contributed Talk |
Simultaneous false discovery proportion bounds via knockoffs and closed testing |
Jinzhou Li | Stanford university |
2 | 14:17-14:34 | 14:17-14:34 | Contributed Talk |
A novel approach of empirical likelihood with massive data |
Xia Chen | |
3 | 14:34-14:51 | 14:34-14:51 | Contributed Talk |
Multiple-use calibration for infinite many future values and exact simultaneous tolerance intervals in linear regression |
Yang Han | University of Manchester |
4 | 14:51-15:08 | 14:51-15:08 | Contributed Talk |
Measuring and testing conditional dependence with high-dimensional conditioning variables |
Jianxin Bi | |
5 | 15:08-15:24 | 15:08-15:24 | Contributed Talk |
Intrinsic minimum average variance estimation for sufficient dimension reduction with symmetric positive difinite matrices and beyond |
Baiyu Chen | |
6 | 15:24-15:40 | 15:24-15:40 | Contributed Talk |
Robust and Efficient Case-Control Studies with Contaminated Case Pools: A Unified M-Estimation Framework |
Guorong Dai |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:17 | 16:00-16:17 | Contributed Talk |
Matrix-Variate Generalized Linear Model with Measurement Error |
Tianqi Sun | |
2 | 16:17-16:34 | 16:17-16:34 | Contributed Talk |
最优速率的高维向量自回归模型稳健估计 |
Di Wang | |
3 | 16:34-16:51 | 16:34-16:51 | Contributed Talk |
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation |
Jingyi Zhang | |
4 | 16:51-17:08 | 16:51-17:08 | Contributed Talk |
A Dynamic Latent Space Model for Bipartite Networks with Nodal Attributes |
Yan Zhang | |
5 | 17:08-17:24 | 17:08-17:24 | Contributed Talk |
Varying density coefficient model with density responses |
Huiya Zhou | |
6 | 17:24-17:40 | 17:24-17:40 | Contributed Talk |
Doubly truncated expectation and variance of univariate generalized skew-elliptical distributions with applications |
Baishuai Zuo |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:47 | 10:30-10:47 | Contributed Talk |
Inverse Probability Weighting-based Mediation Analysis for Microbiome Data |
Yuexia Zhang | The University of Texas at San Antonio |
2 | 10:47-11:04 | 10:47-11:04 | Contributed Talk |
Statistical and Bioinformatic Analysis of Breast Cancer Methylation Patterns |
Shuying Sun | Texas State University |
3 | 11:04-11:21 | 11:04-11:21 | Contributed Talk |
Gene spatial expression and prognosis prediction by integrated graph and image deep learning model based on HE slides of cancer |
Ruitian Gao | |
4 | 11:21-11:38 | 11:21-11:38 | Contributed Talk |
Bayesian Inference of Gene Expression Dynamics in Alzheimer Brains |
Shanjun Mao | |
5 | 11:38-11:54 | 11:38-11:54 | Contributed Talk |
Neural Network on Interval Censored Data with Application to the Prediction of Alzheimer's Disease |
Tao Sun | |
6 | 11:54-12:10 | 11:54-12:10 | Contributed Talk |
Proteome-wide Mendelian Randomization Analysis Identified Potential Drug Targets for Atrial Fibrillation |
Xinpei Wang | Department of Biostatistics, School of Public Health, Peking University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:17 | 14:00-14:17 | Contributed Talk |
Community Detection in Temporal Citation Network via a Tensor-based Approach |
Tianchen Gao | |
2 | 14:17-14:34 | 14:17-14:34 | Contributed Talk |
Kernel regression for estimating regression function and its derivatives with unknown error correlations |
Sisheng Liu | |
3 | 14:34-14:51 | 14:34-14:51 | Contributed Talk |
A Novel Hypothesis Testing Method of Skew-Normal Distribution Based on the Fourth-order Moment Property |
Zhe Jiang | |
4 | 14:51-15:08 | 14:51-15:08 | Contributed Talk |
Factor-adjusted model averaging |
Wenhui Li | |
5 | 15:08-15:24 | 15:08-15:24 | Contributed Talk |
Consistent Selection of the Number of Groups in Panel Models via Sample-Splitting |
Zhe Li | |
6 | 15:24-15:40 | 15:24-15:40 | Contributed Talk |
Automatic Search Intervals for the Smoothing Parameter in Penalized Splines |
Zheyuan Li |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:17 | 16:00-16:17 | Contributed Talk |
Spatial Linear Regression with Covariate Measurement Errors: Inference and Scalable Computation in a Functional Modeling Approach |
Jiahao Cao | |
2 | 16:17-16:34 | 16:17-16:34 | Contributed Talk |
An efficient PG-INLA algorithm for logistic item response models analysis |
Xiaofan Lin | |
3 | 16:34-16:51 | 16:34-16:51 | Contributed Talk |
分数CIR过程统计行为的数值模拟 |
Xiaopeng Chen | |
4 | 16:51-17:08 | 16:51-17:08 | Contributed Talk |
High-dimensional Clustering onto Hamiltonian Cycle |
Tianyi Huang | |
5 | 17:08-17:24 | 17:08-17:24 | Contributed Talk |
Relative error-based distributed estimation in growing dimension |
Xiaoyan Li | |
6 | 17:24-17:40 | 17:24-17:40 | Contributed Talk |
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning |
Wenxuan Ma |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:55 | 08:30-08:55 | Invited Talk |
High Dimensional Tensor CP Models |
Cun-Hui Zhang | Rutgers University |
2 | 08:55-09:20 | 08:55-09:20 | Invited Talk |
Reinforcement Learning via Nonparametric Smoothing in a Continuous-Time Stochastic Setting with Noisy Data |
Yazhen Wang | University of Wisconsin-Madison |
3 | 09:20-09:45 | 09:20-09:45 | Invited Talk |
On the multiway PCA |
Ming Yuan | Columbia |
4 | 09:45-10:10 | 09:45-10:10 | Invited Talk |
Antipodal Reflection Depth (ARD) and Its Application to Nonparametric Outlier Detection in Multivariate and Functional Data |
Regina LIU | RUTGERS UNIVERSITY |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
The Statistical Face of a Region under Monsoon Rainfall in Eastern India |
Subrata Kundu | George Washington University |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Leveraging Electronic Health Records for Biomedical Research |
Jessica Gronsbell | University of Toronto |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Cautious explorers generate more future academic impact |
Fengnan Gao | |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
On High-Dimensional Gaussian Comparisons For Cross-Validation |
Jing Lei | Carnegie Mellon University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:55-09:20 | 08:55-09:20 | Invited Talk |
Large-scale Multi-layer Academic Networks Derived from Statistical Publications |
Rui Pan | |
2 | 09:20-09:45 | 09:20-09:45 | Invited Talk |
Introduction to the Database of the ELEMENT Birth Cohorts from the Lens of Biostatistician |
Peter Song | University of Michigan |
3 | 09:45-10:10 | 09:45-10:10 | Invited Talk |
The statistical triangle |
Jiashun Jin |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Co-variance Operator of Banach Valued Random Elements: Viewpoint of U-Statistic |
Subhra Sankar Dhar | IIT Kanpur |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Gaussian Chain Graph Models: Identifiability, Estimation and Asymptotics |
Junhui Wang | Chinese University of Hong Kong |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Fine-Mapping Causal Variants Using Summary GWAS Statistics with Heritability-induced Dirichlet Decomposition Prior |
Yan Dora Zhang | The University of Hong Kong |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
因之果与果之因 |
Zhi Geng |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:55 | 08:30-08:55 | Invited Talk |
Debiased estimating equation method for summary statistics-based Mendelian randomization |
Ruoyu Wang | |
2 | 08:55-09:20 | 08:55-09:20 | Invited Talk |
New Tests for High-Dimensional Two-sample Mean Problems with Consideration of Correlation Structure |
Songshan Yang | |
3 | 09:20-09:45 | 09:20-09:45 | Invited Talk |
Statistical inference for counting processes under shape heterogeneity |
Ying Sheng | |
4 | 09:45-10:10 | 09:45-10:10 | Invited Talk |
Selective Conformal Inference with FCR Control |
Haojie Ren |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Random fixed boundary flows: a twin sister of principal flow? |
Zhigang Yao | National University of Singapore & CMSA, Harvard University |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Limitations of the Wasserstein MDE |
Yannis Yatracos | Tsinghua University |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Ensemble Kalman Filter under Fixed and High Dimension |
Shouxia Wang | |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
A Tale of Two Types of Structural Instabilities in High Dimensional Factor Models |
Yundong Tu |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:55 | 08:30-08:55 | Invited Talk |
Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly |
Tao Sun | |
2 | 08:55-09:20 | 08:55-09:20 | Invited Talk |
深度学习在精准医疗领域中的应用 |
Fan Yang | |
3 | 09:20-09:45 | 09:20-09:45 | Invited Talk |
真实世界研究中倾向评分方法和应用 |
Anxin Wang | |
4 | 09:45-10:10 | 09:45-10:10 | Invited Talk |
基于参数g-formula模型的人群干预效应的因果推断研究:以不同降压策略比较为例 |
Haibin Li |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Robust Bayesian Regression via Hard Thresholding |
Zhaohui Li | |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
非线性期望和强化学习Nonlinear Expectation and Reinforcement Learning |
Xiaodong Yan | |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Selection by Prediction: Prediction-Assisted Candidate Screening with Conformal p-values and its Application to Drug Discovery |
Ying Jin | Stanford University |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
Integrating Statistical Learning and Deep Learning for More Advanced Material Science |
Ke Deng |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:55 | 08:30-08:55 | Invited Talk |
PeerMeta: A Framework of Financial Statement Fraud Detection Based on Peer Effects and Meta Learning |
Qingfu Liu | |
2 | 08:55-09:20 | 08:55-09:20 | Invited Talk |
Modeling Medium-sized Cross-sectional Maxima with Autoregressive Conditional GB2 Models |
Zhengjun Zhang | |
3 | 09:20-09:45 | 09:20-09:45 | Invited Talk |
FinRL: A Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance |
Dan Wang | |
4 | 09:45-10:10 | 09:45-10:10 | Invited Talk |
Statistical Applications in Stock Investment |
Zhao Chen |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Statistical Quantitation of Dynamic PET Scans |
Fengyun Gu | |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Modeling Interactive Biological Pathways From High-Dimensional Gene Expression Trajectories Using Dependent Gaussian Processes |
Jiachen Cai | MRC Biostatistics Unit, University of Cambridge |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Ensembled Seizure Detection based on Small Training Samples |
Peifeng Tong | |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
Knockoff-Based Statistics for the Identification of Putative Causal Genes in Genetic Studies |
Shiyang Ma |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:55 | 08:30-08:55 | Invited Talk |
Controlling the False Discovery Rate in Structural Sparsity: Split Knockoffs |
Yuan Yao | |
2 | 08:55-09:20 | 08:55-09:20 | Invited Talk |
Machine Learning Safety: Enhancing Privacy and Fairness |
Ganghua Wang | |
3 | 09:20-09:45 | 09:20-09:45 | Invited Talk |
Significance tests of feature relevance for a black-box learner |
Ben Dai | |
4 | 09:45-10:10 | 09:45-10:10 | Invited Talk |
Kolmogorov-Smirnov learning by neuron networks with a nonconvex surrogate loss |
Fang Fang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Fusion of supervised learning and reinforcement learning for dynamic treatment recommendation |
Yiyuan Liu | |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
基于因果的推荐系统 |
Peng Wu | |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Correcting for nonignorable nonresponse bias in overestimation of turnout using callabck data |
Xinyu Li | |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
Causal inference for soccer game analysis |
Weining Shen | University of California, Irvine |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:55 | 08:30-08:55 | Invited Talk |
Causal inference on distribution functions |
Dehan Kong | University of Toronto |
2 | 08:55-09:20 | 08:55-09:20 | Invited Talk |
Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling |
Yize Zhao | Yale University |
3 | 09:20-09:45 | 09:20-09:45 | Invited Talk |
The promises of multiple outcomes |
Linbo Wang | University of Toronto |
4 | 09:45-10:10 | 09:45-10:10 | Invited Talk |
Bayesian methods for brain-computer interfaces |
Jian Kang | University of Michigan |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:47 | 10:30-10:47 | Contributed Talk |
Efficient calibration of computer models with multivariate output |
Yang Sun | |
2 | 10:47-11:04 | 10:47-11:04 | Contributed Talk |
Effective model averaging for generalized linear models in diverging model spaces |
Chaoxia Yuan | |
3 | 11:04-11:21 | 11:04-11:21 | Contributed Talk |
lasso错误快速算法的更正及拓展研究 |
慧异 夏 | |
4 | 11:21-11:38 | 11:21-11:38 | Contributed Talk |
A Scalable Gaussian Process for Large-Scale Periodic Data |
QIAN XIAO | University of Georgia |
5 | 11:38-11:54 | 11:38-11:54 | Contributed Talk |
Collapsibility of Conditional Models of CG-Graphical Models |
Xiangdong Xie | |
6 | 11:54-12:10 | 11:54-12:10 | Contributed Talk |
Gaussian mixture reduction with composite transportation divergence |
Qiong Zhang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:55 | 08:30-08:55 | Invited Talk |
Consistent dynamic Bayesian network learning for an fMRI study of emotion processing |
Lizhe Sun | |
2 | 08:55-09:20 | 08:55-09:20 | Invited Talk |
Optimal Excess Risk Bounds via Offset Rademacher Complexity |
Lican Kang | |
3 | 09:20-09:45 | 09:20-09:45 | Invited Talk |
Model Construction of Quantile Factor Augmented Quantile Autoregression Distributed Lag |
Yuting Huang | |
4 | 09:45-10:10 | 09:45-10:10 | Invited Talk |
Grated Recurrent Unit Network Quantile Regression for Silicon Content Prediction in Blast Furnace |
Shihua Luo |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:50 | 10:30-10:50 | Contributed Talk |
Optimal Sample Splitting for Multiple Outcomes Treatment Effect Detection |
Qishuo Yin | University of Pennsylvania |
2 | 10:50-11:10 | 10:50-11:10 | Contributed Talk |
Causal inference for semi-competing risks via multi-state models |
Yuhao Deng | |
3 | 11:10-11:30 | 11:10-11:30 | Contributed Talk |
Treatment Effect Estimation with Censored Outcome and Covariate Selection |
Li Li | |
4 | 11:30-11:50 | 11:30-11:50 | Contributed Talk |
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression |
Chong You | |
5 | 11:50-12:10 | 11:50-12:10 | Contributed Talk |
Dynamic treatment effects: high-dimensional double robust inference under model misspecification |
Yuqian Zhang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:47 | 08:30-08:47 | Contributed Talk |
On Adaptive Kernel Learning for Nonparametric Regression and Classification |
Shuntuo Xu | |
2 | 08:47-09:04 | 08:47-09:04 | Contributed Talk |
Optimal One-Pass Nonparametric Estimation Under Memory Constraint |
Mingxue Quan | |
3 | 09:04-09:21 | 09:04-09:21 | Contributed Talk |
Distributed Estimation and Inference for Spatial Autoregression Model with Large Scale Networks |
Yimeng Ren | |
4 | 09:21-09:38 | 09:21-09:38 | Contributed Talk |
Transductive Matrix Completion with Calibration for Multi-Task Learning |
Hengfang Wang | |
5 | 09:38-09:54 | 09:38-09:54 | Contributed Talk |
GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering |
Zhaoyu Xing | |
6 | 09:54-10:10 | 09:54-10:10 | Contributed Talk |
Multi-view clustering based on principal component analysis and binary pairwise fused penalty |
Jianxi Zhao |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:50 | 10:30-10:50 | Contributed Talk |
Non-marginal feature screening for varying coefficient competing risks model |
Bing Tian | |
2 | 10:50-11:10 | 10:50-11:10 | Contributed Talk |
A covariate-driven beta-binomial integer-valued GARCH-type models for bounded counts with an application |
Huaping Chen | |
3 | 11:10-11:30 | 11:10-11:30 | Contributed Talk |
Robust estimation of large factor models for tensor-valued time series |
Lingxiao Li | |
4 | 11:30-11:50 | 11:30-11:50 | Contributed Talk |
Automatic Change-Point Detection in Time Series via Deep Learning |
Jie Li | London School of Economics |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:50 | 08:30-08:50 | Contributed Talk |
Inference for ultra-high dimensional quasi-likelihood models |
Xuejun Jiang | |
2 | 08:50-09:10 | 08:50-09:10 | Contributed Talk |
Simultaneous Statistical Inference for Second Order Parameters of Time Series under Weak Conditions |
Yunyi Zhang | |
3 | 09:10-09:30 | 09:10-09:30 | Contributed Talk |
covariance test for discretely observed functional data |
Yang Zhou | |
4 | 09:50-10:10 | 09:50-10:10 | Contributed Talk |
Estimation of Linear Functionals in High Dimensional Linear Models: From Sparsity to Non-sparsity |
Junlong Zhao |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:50 | 10:30-10:50 | Invited Talk |
TBC |
NGAI HANG CHAN | City University of Hong Kong |
2 | 10:50-11:10 | 10:50-11:10 | Invited Talk |
TBC |
Cun-Hui Zhang | Rutgers University |
3 | 11:10-11:30 | 11:10-11:30 | Invited Talk |
Professor Lai’s Contributions to Biopharmaceutical Industry and Regulatory Science |
Jie Chen | ECR Global |
4 | 11:30-12:10 | 11:30-12:10 | Comment |
Open Forum Attribution by Audience |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:50 | 08:30-08:50 | Contributed Talk |
Testing Homogeneity in High Dimensional Data through Random Projections |
Tao Qiu | |
2 | 08:50-09:10 | 08:50-09:10 | Contributed Talk |
A Unified Generalization of Inverse Regression Via Adaptive Column Selection |
Yin Jin | |
3 | 09:10-09:30 | 09:10-09:30 | Contributed Talk |
Semi-Distance Correlation and Its Applications |
Zhuoxi Li | |
4 | 09:30-09:50 | 09:30-09:50 | Contributed Talk |
Weak approximation of nonlinear filtering for multiscale McKean-Vlasov stochastic systems |
Huijie Qiao | |
5 | 09:50-10:10 | 09:50-10:10 | Contributed Talk |
Weighted residual empirical processes, martingale transformations, and model checking for regressions |
Falong Tan |