Differentially Private Sliced Inverse Regression in the Federated Paradigm

A High-Dimensional Distribution-Free Two-Sample Test via Projection Wasserstein Distances and Deep Neural Networks

A General Framework of Brain Region Detection and Genetic Variants Selection in Imaging Genetics

Orthogonal Covariate Balancing for Causal Inference

Distribution-Free Robust Independence Test for High-Dimensional Data via Semi-Grothendieck's Divergence

Test of Multivariate Independence via Comparing Two Bivariate Means

Testing Independence and Conditional Independence in High Dimensions via Coordinatewise Gaussianization

Dynamic Influencer Identification in CARA Experiments under Bipartite Network Interference

Assumption-Lean Covariate Adjustment in Covariate Adaptive Randomization

Some Recent Advances in Adaptive Design

Estimating Treatment and Spillover Effects with Ego-Cluster Experimental Design

Bayesian Inference for Independent Cluster Point Processes

A General Weighted Block Ensemble Kalman Filter with Data-Driven Optimal Block-Width Selection

Data Integration of Non-Probability and Probability Samples Using Deep Generative Model

Predicting Average Daily Liveweight Gain in Grazing Cattle from Accelerometer-Derived Behaviour and Activity

Equilibrium Joining Strategies in a Two-Stage Service System with Priority Customers and Feedback

Modified Cholesky Decomposition-Based Localization in Ensemble Kalman Filter