Pursuing homogeneity and sparsity in simultaneous quantile regression

Distributed quantile regression for longitudinal big data

Bayesian Inference of Sample Selection Using Quantile Selection Model

Online Updating Huber Robust Regression for Big Data Streams

Robust Bilinear Probabilistic PCA using a Matrix Variate t distribution

Error analysis of generative adversarial network

Clustered Federated Learning based on Nonconvex Pairwise Fusion

Extrapolated Random Tree for Regression

Forecasting High Dimensional Long Memory Time Series based on Memory augmented Gated Recurrent Unit

Adversarial Learning of Distributional Reinforcement Learning

Improved Efficiency in Semiparametric Estimation for two-sample comparison in Semi-Supervised Learning Framework

基于CARR-OVMD-GRU模型的原油期货价格波动性预测

Change Point Detection in Beta Process with High Frequency Data

Capital Allocation with Asset Risks: Amortization by Investable Assets

When Do Models Make Money? A Path from Return Predictability to Profitability

Estimating market liquidity from daily data, marrying Micro structure models and machine learning

Group penalized multinomial logit models and stock return direction prediction