Estimating trees from filtered data: Identifiability of models for morphological phylogenetics

Journal of Theoretical Biology

Volumn 263, Issue 1, 2010, Pages 108-119

  Allman, Elizabeth S ^a   Holder, Mark T ^b   Rhodes, John A ^a  

^a UNIVERSITY OF ALASKA FAIRBANKS   (United States)

^b UNIVERSITY OF KANSAS   (United States)

Author keywords

60J20; 62M99; 92D15; Maximum likelihood; Mkv model; Morphology; Parsimony informative

Indexed keywords

BAYESIAN ANALYSIS; ESTIMATION METHOD; MAXIMUM LIKELIHOOD ANALYSIS; MORPHOLOGY; PARSIMONY ANALYSIS; PHYLOGENETICS; THEORETICAL STUDY; TREE;

ARTICLE; BAYES THEOREM; CONTROLLED STUDY; MAXIMUM LIKELIHOOD METHOD; MORPHOLOGICAL TRAIT; NONHUMAN; PARSIMONY ANALYSIS; PHYLOGENY; PRIORITY JOURNAL; PROBABILITY; STOCHASTIC MODEL; TAXON; TREE;

ALGORITHMS; BAYES THEOREM; CLASSIFICATION; COMPUTATIONAL BIOLOGY; LIKELIHOOD FUNCTIONS; MARKOV CHAINS; MODELS, GENETIC; MODELS, STATISTICAL; MODELS, THEORETICAL; PHYLOGENY; PROBABILITY; TERMINOLOGY AS TOPIC;

EID: 77649342806     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2009.12.001     Document Type: Article

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