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...observable parameters. The extracted model parameters can then be used to perform further...can be considered as the simplest dynamic Bayesian network. In genetics, a transition is a mutation...
2 Answers · Science & Mathematics · 09/09/2007
... include maximum likelihood, maximum parsimony, and Bayesian approaches - all are statistical in nature and... of confidence. The next step is to model the physical structure of the ancient protein. There...
2 Answers · Science & Mathematics · 28/11/2007
...dominance can disrupt predictions of equilibrium, some models have moved away from using genetic equilibrium...of the traditional F-statistics, they make use of Bayesian estimates. Holsinger et al. ...
2 Answers · Science & Mathematics · 05/03/2013
...include parsimony, maximum likelihood, and MCMC-based Bayesian inference. Distance-based methods... depend upon an implicit or explicit mathematical model describing the evolution of characters...
2 Answers · Science & Mathematics · 19/02/2007
... of North American, Bayesian inference of DNA molecular markers is...of sister species. Ecological niche models are generated for parapatric and sympatric...
4 Answers · Science & Mathematics · 30/04/2013
...phylogeny when more advanced methods (such as Bayesian inference) are too computationally expensive. example... algorithms based on the phenetic model generally rely on distance methods for the calculation...
3 Answers · Science & Mathematics · 13/12/2008
... has said, “Why are believers in one model —evolution—seeking to impose their faith on those who hold that there...
6 Answers · Science & Mathematics · 25/03/2010
