Rejoinder on ‘Inference after covariate-adaptive randomization: aspects of methodology and theory

Cholesky-based model averaging for covariance matrix estimation

On finite mixture models

Spatial-sign-based high-dimensional white noises test

Reliability estimation of s-out-of-k system with Kumaraswamy distribution based on partially constant stress accelerated life tests

Statistical inference of reliability for a K-out-of-N: G system with switching failure under Poisson shocks

A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques

Partially fixed bayesian additive regression trees

D-optimal saturated designs for main effects and interactions in 2^k-factorial experiments

Variable selection and subgroup analysis for high-dimensional censored data