Accelerating Monte Carlo Markov chain convergence for cumulative-link generalized linear models. - Mary Kathryn Cowles (Stat. Comput., 1996)

A simulation approach to convergence rates for Markov chain Monte Carlo algorithms. - Mary Kathryn Cowles; Jeffrey S. Rosenthal (Stat. Comput., 1998)

MCMC Sampler Convergence Rates for Hierarchical Normal Linear Models: A Simulation Approach. - Mary Kathryn Cowles (Stat. Comput., 2002)

Bayesian inference for pairwise interacting point processes. - Matthew A. Bognar; Mary Kathryn Cowles (Stat. Comput., 2004)

Parallelizing MCMC for Bayesian spatiotemporal geostatistical models. - Jun Yan 002; Mary Kathryn Cowles; Shaowen Wang 001; Marc P. Armstrong (Stat. Comput., 2007)

Grid computing of spatial statistics: using the TeraGrid for Gi*(d) analysis. - Shaowen Wang 001; Mary Kathryn Cowles; Marc P. Armstrong (Concurr. Comput. Pract. Exp., 2008)

Independent sampling for Bayesian normal conditional autoregressive models with OpenCL acceleration. - Mary Kathryn Cowles; Stephen Bonett; Michael Seedorff (Comput. Stat., 2018)