Auxiliary Learning and its Statistical Understanding

A Multi-Feature Fusion Deep Learning Prediction Method for Production of Tight Gas Reservoirs

An Analysis of Switchback Designs in Reinforcement Learning

Unlocking the Power of AI: Deep Learning of Volatility is Indispensable

Production Prediction of Tight Gas Reservoirs Based on Deep Learning BWO-TFT Model

Beyond Detection Boundary: Minimax Deficiency for Two-Sample Mean Tests in High Dimensions

Mediation Analysis in Longitudinal Study with High-Dimensional Methylation Mediators

Estimation and Inference for High-Dimensional Quantile Regression with Knowledge Transfer under Distribution Shift

Enhancing High-Dimensional Dynamic Covariance Estimation Model Based on GARCH Family and Comparative Performance Analysis

Invariance-Based Inference in High-Dimensional Regression with Finite-Sample Guarantees

Semiparametric Estimation with Reduced Dimension for the Treatment Effect under Missing Data

Semi-Supervised Inference for Means under MAR without Inverse Propensity Weighting

Improving the Efficiency of Estimating Treatment Effects with External Control Data

Smoothed Estimation on Optimal Treatment Regime under Semi-supervised Setting in Randomized Trials

Semiparametric Efficient Fusion of Individual and Summary Data

A Weighted Iterative Projection Estimation Procedure for Robust Tensor Factor Model with Tucker Decomposition

Nonasymptotic Performance Analysis of ESPRIT and Spatial-Smoothing ESPRIT

Statistics, Data Science, and Artificial Intelligence - A Comparative Analysis Based on Quantitative History 统计学、数据科学与人工智能——基于量化历史的比较分析

Community Detection in Directed Networks Based on Co-clustering and Node Similarity

The Unique Solution of Factor Analysis and the Significance Test of Solutions 因子分析的唯一解与解的显著性检验