Bayesian Inference in Phylogeny

Bayesian inference in phylogeny generates a posterior distribution for a parameter, composed of a phylogenetic tree and a model of evolution, based on the prior for that parameter and the likelihood of the data, generated by a multiple alignment. The Bayesian approach has become more popular due to advances in computational machinery, especially, Markov chain Monte Carlo algorithms. Bayesian inference has a number of applications in molecular phylogenetics, for example, estimation of species phylogeny and species divergence times.

Read more about Bayesian Inference In PhylogenyBasic Bayesian Theory, The LOCAL Algorithm of Larget and Simon, Metropolis-coupled MCMC (Geyer)

Other articles related to "bayesian inference in phylogeny, phylogeny, inference":

Bayesian Inference In Phylogeny - Metropolis-coupled MCMC (Geyer)
... This is a serious practical concern for phylogeny reconstruction, as multiple local peaks are known to exist in the tree space during heuristic tree search under maximum ... are run and only one chain is used for inference ...

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    Rules and particular inferences alike are justified by being brought into agreement with each other. A rule is amended if it yields an inference we are unwilling to accept; an inference is rejected if it violates a rule we are unwilling to amend. The process of justification is the delicate one of making mutual adjustments between rules and accepted inferences; and in the agreement achieved lies the only justification needed for either.
    Nelson Goodman (b. 1906)