Model Selection and Model Averaging in Phylogenetics: Advantages of Akaike Information Criterion and Bayesian Approaches Over Likelihood Ratio Tests

Author:

Posada David1,Buckley Thomas R.2

Affiliation:

1. Departamento de Bioquímica, Genética e Inmunología, Facultad de Biología, Universidad de Vigo Vigo 36200, Spain; E-mail: dposada@uvigo.es

2. Landcare Research Private Bag 92170, Auckland, New Zealand; E-mail: BuckleyT@LandcareResearch.co.nz

Publisher

Oxford University Press (OUP)

Subject

Genetics,Ecology, Evolution, Behavior and Systematics

Reference165 articles.

1. MOLPHY version 2.3.: Programs for molecular phylogenetics based in maximum likelihood;Adachi;Comput. Sci. Monogr.,1996

2. Categorical data analysis, 2nd edition;Agresti,1990

3. Information theory and an extension of the maximum likelihood principle;Akaike,1973

4. A new look at the statistical model identification;Akaike;IEEE Trans. Aut. Control,1974

5. Likelihood of a model and information criteria;Akaike;J. Econometrics,1981

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