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 |