 Anthony Edwards (1970) was the first to discuss Bayesian methods in phylogenetics, but it was computationally impossible to carry these inferences out at the time. In the 1990s, three groups independently developed methods for carrying out Bayesian inferences of phylogenies in practice (Rannala &amp; Yang 1996; Mau &amp; Newton 1997; Yang &amp; Rannala 1997; Li, Pearl, &amp; Doss 2000). Each group used Bayesian Markov chain Monte Carlo (MCMC) algorithms to estimate posterior probabilities, which other groups further refined (e.g., Larget &amp; Simon 1999; Ané, Larget, Baum, Smith, &amp; Rokas 2007; Huelsenbeck, Ané, Larget, &amp; Ronquist 2008). (See Archibald, Mort, &amp; Crawford 2003 for an early and non-technical primer on Bayesian phylogenetic methods.) With further statistical and computational improvements, Bayesian methods are now fairly commonplace in the literature alongside likelihood methods.