How Bayes tests of molecular phylogenies compare with frequentist approaches | Zendy

Stéphane ArisBrosou | Zendy

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How Bayes tests of molecular phylogenies compare with frequentist approaches

Author(s) -

Stéphane ArisBrosou

Publication year - 2003

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg065

Subject(s) - frequentist inference , bayes' theorem , bayes factor , statistics , statistical hypothesis testing , null hypothesis , frequentist probability , bayes' rule , confidence interval , computer science , bayesian probability , tree (set theory) , mathematics , machine learning , econometrics , bayesian inference , combinatorics

The desire to compare molecular phylogenies has stimulated the design of numerous tests. Most of these tests are formulated in a frequentist framework, and it is not known how they compare with Bayes procedures. I propose here two new Bayes tests that either compare pairs of trees (Bayes hypothesis test, BHT), or test each tree against an average of the trees included in the analysis (Bayes significance test, BST).

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