Statistics and Its Interface

Estimation and inference for covariate adjusted partially functional linear regression models

Multi-drug combination designs with experiments in silico

A residual-based approach for robust random forest regression

Online multiple learning with working sufficient statistics for generalized linear models in big data

Feature screening via Bergsma–Dassios sign correlation learning

Group variable selection for recurrent event model with a diverging number of covariates

Regularized multiple mediation analysis

Prior conditioned on scale parameter for Bayesian quantile LASSO and its generalizations

Constrained estimation in Cox model under failure-time outcome-dependent sampling design

Demystify Lindley’s paradox by connecting $p$-value and posterior probability

Contents of Volume 14