Geometric Bayes. - Andrew J. Holbrook (2018)

Massive Parallelization Boosts Big Bayesian Multidimensional Scaling. - Andrew J. Holbrook; Philippe Lemey; Guy Baele; Simon Dellicour; Dirk Brockmann; Andrew Rambaut; Marc A. Suchard (J. Comput. Graph. Stat., 2021)

Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data. - Andrew J. Holbrook; Charles E. Loeffler; Seth R. Flaxman; Marc A. Suchard (Stat. Comput., 2021)

From viral evolution to spatial contagion: a biologically modulated Hawkes model. - Andrew J. Holbrook; Xiang Ji; Marc A. Suchard (Bioinform., 2022)

A Quantum Parallel Markov Chain Monte Carlo. - Andrew J. Holbrook (J. Comput. Graph. Stat., 2023)

Generating MCMC proposals by randomly rotating the regular simplex. - Andrew J. Holbrook (J. Multivar. Anal., 2023)

Accelerating Bayesian inference of dependency between mixed-type biological traits. - Zhenyu Zhang; Akihiko Nishimura; Nídia S. Trovão; Joshua L. Cherry; Andrew J. Holbrook; Xiang Ji; Philippe Lemey; Marc A. Suchard (PLoS Comput. Biol., 2023)