Network-Adjusted Covariates for Community Detection

Data-Driven Minimax Optimization with Expectation Constraints

Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

Optimal and Efficient Thompson Sampling Algorithms for Bandits and Reinforcement Learning

Deconvoluting Cell State Distribution From Bulk RNA-Seq Data

Conditional Transcriptome-Wide Association Study for Fine-Mapping Candidate Causal Genes

Statistical Inference on Road Traffic Injury Based on the Media Data 基于媒体报道的道路交通伤害伤亡数据的统计推断

A Study of Confounder Adjusting Methods in ITE Estimation Based on CF under High Dimensions

Unique Solution and Significance Test of Solution in Factor Analysis

Growth Curve Mixture Model with Toeplitz Structured Covariance

Modeling Heat Transfer Properties in an ORC Direct Contact Evaporator Using RBF Neural Network Combined with EMD

Joint Mean-Angle Model for Spatial Binary Data

Unified Principal Components Analysis of Irregularly Observed Functional Time Series

Factor Modelling for Matrix-Variate Functional Time Series in High Dimensions

Functional Data Analysis with Covariate-Dependent Mean and Covariance Structures

Differential Inference for scATAC-Seq Data

Revisiting the Poisson Autoregressive Model: Structure and Statistical Inference 重访泊松自回归模型：结构与统计推断