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• Molecular Evolution (academic course)
  ...ion of DNA, RNA, and proteins), and with in-depth knowledge of model-based methods for phylogenetic tree reconstruction and hypothesis testing in an evolution ...tic trees using distance based methods, parsimony, maximum likelihood, and Bayesian
  2 KB (212 words) - 00:09, 9 August 2006
• Bayesian Phylogenetic Analysis
  ==Introduction to Bayesian phylogenetic analysis== ...of any possible data set.) You will recall that in '''[[Bayesian inference|Bayesian statistics]]''' the goal is to obtain a full probability distribution over
  28 KB (4,371 words) - 03:28, 14 April 2008
• Phylogenetics
  ...enies include [[cladistics]], [[phenetics]], [[maximum likelihood]], and [[Bayesian inference]]. These last two depend upon a mathematical model describing the The methods for calculating phylogenetic trees fall into two general categories (Hall,
  11 KB (1,505 words) - 18:58, 30 September 2006
• Markov chain Monte Carlo
  ...te Carlo (MCMC)''' methods, sometimes called '''random walk Monte Carlo''' methods, are a class of algorithms for sampling from probability distributions base ...easonably high contribution to the integral to move into next. Random walk methods are a kind of random simulation or Monte Carlo method. However, whereas the
  6 KB (864 words) - 00:50, 30 December 2005
• Maximum a posteriori
  ...the use of distributions to summarize data and draw inferences. Bayesian methods tend to report the posterior [[mean]] or [[median]] together with [[posteri
  2 KB (305 words) - 23:05, 29 December 2005
• Inferring Phylogenies
  * '''1. Parsimony methods''' ** Methods of rooting the tree
  20 KB (3,034 words) - 10:55, 6 January 2006