| dbo:abstract |
Bayesian inference of phylogeny combines the information in the prior and in the data likelihood to create the so-called posterior probability of trees, which is the probability that the tree is correct given the data, the prior and the likelihood model. Bayesian inference was introduced into molecular phylogenetics in the 1990s by three independent groups: Bruce Rannala and Ziheng Yang in Berkeley, Bob Mau in Madison, and Shuying Li in University of Iowa, the last two being PhD students at the time. The approach has become very popular since the release of the MrBayes software in 2001, and is now one of the most popular methods in molecular phylogenetics. (en) La inferencia bayesiana en filogenia genera la probabilidad posterior de un parámetro, un árbol filogenético y/o un modelo evolutivo, basada en la probabilidad anterior de ese parámetro y la función de verosimilitud de los datos. La aplicación del análisis bayesiano en la inferencia filogenética presenta varias ventajas en comparación con otros métodos de inferencia, como la fácil interpretación de los resultados, la posibilidad de usar información apriorística y algunas ventajas computacionales. Se calcula la probabilidad de que nuestro árbol sea correcto condicionada por los datos que tenemos: P (árbol|datos). Lo contrario a otros métodos, que calculan la probabilidad de que nuestros datos se adapten al árbol: P (datos |
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Bayesian inference in phylogeny (en) |
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Bayesian inference in phylogeny (en) |
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| rdfs:comment |
Bayesian inference of phylogeny combines the information in the prior and in the data likelihood to create the so-called posterior probability of trees, which is the probability that the tree is correct given the data, the prior and the likelihood model. Bayesian inference was introduced into molecular phylogenetics in the 1990s by three independent groups: Bruce Rannala and Ziheng Yang in Berkeley, Bob Mau in Madison, and Shuying Li in University of Iowa, the last two being PhD students at the time. The approach has become very popular since the release of the MrBayes software in 2001, and is now one of the most popular methods in molecular phylogenetics. (en) La inferencia bayesiana en filogenia genera la probabilidad posterior de un parámetro, un árbol filogenético y/o un modelo evolutivo, basada en la probabilidad anterior de ese parámetro y la función de verosimilitud de los datos. La aplicación del análisis bayesiano en la inferencia filogenética presenta varias ventajas en comparación con otros métodos de inferencia, como la fácil interpretación de los resultados, la posibilidad de usar información apriorística y algunas ventajas computacionales. Se calcula la probabilidad de que nuestro árbol sea correcto condicionada por los datos que tenemos: P (árbol|datos). Lo contrario a otros métodos, que calculan la probabilidad de que nuestros datos se adapten al árbol: P (datos |
| rdfs:label |
Bayesian inference in phylogeny (en) Inferencia bayesiana en filogenia (es) Inferenza bayesiana in filogenesi (it) ベイズ法 (ja) Байесовский подход в филогенетике (ru) 贝叶斯法 (zh) |
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