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

Cholesky-based model averaging for covariance matrix estimation

On finite mixture models

A Bayesian hierarchical model with spatially varying dispersion for reference-free cell type deconvolution in spatial transcriptomics

glabcmcmc: a Python package for ABC-MCMC with local and global moves

The uniformly strong consistency of kernel-type distribution estimator under asymptotically almost negatively associated samples

Weighted average ensemble for Cholesky-based covariance matrix estimation

An algorithm for distributed parameter estimation in modal regression models

L0-regularized high-dimensional sparse multiplicative models

A note on the probability structure of a doubly randomized delayed start design