The Behavior of Metropolis-Coupled Markov Chains When Sampling Rugged Phylogenetic Distributions
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Bayesian phylogenetic inference relies on the use of Markov chain Monte Carlo (MCMC) to provide numerical approximations of high-dimensional integrals and estimate posterior probabilities. However, MCMC performs poorly when posteriors are very rugged (i.e., re... ...
