Maximum likelihood and Bayesian methods for estimating the distribution of selective effects among classes of mutations using DNA polymorphism data

Theoretical Population Biology

Volumn 63, Issue 2, 2003, Pages 91-103

  Bustamante, Carlos D ^a,b   Nielsen, Rasmus ^b   Hartl, Daniel L ^c  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b Department of Population Medicine and Diagnostic Sciences   (United States)

^c HARVARD UNIVERSITY   (United States)

Author keywords

Bayesian statistics; EM algorithm; Gibbs sampling; Hierarchical models; MCMC; Poisson random field; Population genetics; SNPs

Indexed keywords

BAYESIAN ANALYSIS; DNA; MAXIMUM LIKELIHOOD ANALYSIS; MUTATION; NATURAL SELECTION; POLYMORPHISM; POPULATION GENETICS;

DNA;

ARTICLE; BAYES THEOREM; GENETIC SELECTION; GENETICS; MUTATION; POISSON DISTRIBUTION; POPULATION GENETICS; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL; UNITED STATES;

BAYES THEOREM; DNA; GENETICS, POPULATION; LIKELIHOOD FUNCTIONS; MUTATION; POISSON DISTRIBUTION; POLYMORPHISM, SINGLE NUCLEOTIDE; SELECTION (GENETICS); UNITED STATES;

EID: 0037944231     PISSN: 00405809     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0040-5809(02)00050-3     Document Type: Article

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