A Markov chain Monte Carlo strategy for sampling from the joint posterior distribution of pedigrees and population parameters under a Fisher-Wright model with partial selfing

Theoretical Population Biology

Volumn 72, Issue 3, 2007, Pages 436-458

  Wilson, Ian J ^a   Dawson, Kevin J ^b  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b ROTHAMSTED RESEARCH   (United Kingdom)

Author keywords

Bayesian inference; MCMC (Markov chain Monte Carlo); Metropolis Hastings; MROA (Most Recent Outcrossed Ancestor); Pedigree reconstruction; Peeling; Self fertilisation; Selfing lines; Selfing rate; Sequential sampling

Indexed keywords

AUTOGAMY; GAMETE; GENOTYPE; HERMAPHRODITE; MARKOV CHAIN; MONTE CARLO ANALYSIS; OUTCROSSING; POPULATION GENETICS; POPULATION MODELING; SAMPLING;

ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; GENE FREQUENCY; GENOTYPE; HUMAN; MONTE CARLO METHOD; PEDIGREE; POPULATION GENETICS; PROBABILITY; STATISTICAL MODEL; STATISTICS;

BAYES THEOREM; GENE FREQUENCY; GENETICS, POPULATION; GENOTYPE; HUMANS; MARKOV CHAINS; MODELS, GENETIC; MODELS, STATISTICAL; MONTE CARLO METHOD; PEDIGREE; PROBABILITY; STOCHASTIC PROCESSES;

EID: 34848827879     PISSN: 00405809     EISSN: 10960325     Source Type: Journal    
DOI: 10.1016/j.tpb.2007.03.002     Document Type: Article

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