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Model selection and model averaging in phylogenetics: Advantages of akaike information criterion and Bayesian approaches over likelihood ratio tests [Review]

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作者： Posada D ^[1] ; Buckley TR

作者单位： Posada D, Univ Vigo, Dept Bioquim Genet & Inmunol, Fac Biol, Vigo 36200, Spain ^[1]

关键词 Aic Bayes factors Bic Likelihood ratio tests Model averaging Chain monte-carlo Site rate variation Dna-sequence data Maximum-likelihood Nucleotide substitution Mitochondrial-dna Evolutionary distances Scientific inference Multiple comparisons Molecular evolution

发布时间 2013-11-20

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Systematic Biology

2004年53卷5期

793-808页

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Systematic Biology

2004年53卷5期

793-808页

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Model selection and model averaging in phylogenetics: Advantages of akaike information criterion and Bayesian approaches over likelihood ratio tests [Review]

Systematic Biology

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Systematic Biology

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Model selection and model averaging in phylogenetics: Advantages of akaike information criterion and Bayesian approaches over likelihood ratio tests [Review]

Systematic Biology

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Systematic Biology

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