A Bayesian variable-selection approach for analyzing designed experiments with complex aliasing

Bayesian methods: bayesian methods for simulation

Proceedings of the 32nd conference on Winter simulation

Regression analysis of experiments with complex confounding patterns guided by the alias matrix

Computational Statistics & Data Analysis

A cluster analysis selection strategy for supersaturated designs

Computational Statistics & Data Analysis

FSR methods for second-order regression models

Computational Statistics & Data Analysis

Stochastic matching pursuit for Bayesian variable selection

Statistics and Computing

Functionally induced priors for componentwise Gibbs sampler in the analysis of supersaturated designs

Computational Statistics & Data Analysis