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

Cholesky-based model averaging for covariance matrix estimation

On finite mixture models

Tail dependence of bivariate skew normal triangular array with varying correlation coefficients

Optimal pricing approaches for data markets in market-operated data exchanges

Optimal orthogonal block designs for three-component symmetric general blending models in mixture experiment

Bias correction of partial-error in variables in a Poisson regression model

Approximate Bayesian inference based on INLA algorithm

Study and improvement of a multivariate covariance control chart based on the Sparse Group Lasso penalty

An AUC-based multi-kernel weighted support vector machine ensemble algorithm for breast cancer diagnosis