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

DOI10.1016/j.tpb.2007.03.002zbMath1146.92025OpenAlexW2078778189WikidataQ36797516 ScholiaQ36797516MaRDI QIDQ935960

Kevin J. Dawson, Ian J. Wilson

Publication date: 12 August 2008

Published in: Theoretical Population Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tpb.2007.03.002

zbMATH Keywords

MCMCMetropolis-HastingsPedigree reconstructionMROA (Most Recent Outcrossed Ancestor)PeelingSelf-fertilisationSelfing linesSelfing rateSequential sampling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Monte Carlo methods (65C05) Numerical analysis or methods applied to Markov chains (65C40) Genetics and epigenetics (92D10)

Related Items (3)

An efficient algorithm for haplotype inference on pedigrees with a small number of recombinants ⋮ Reconstruction of pedigrees in clonal plant populations ⋮ Reconstruction of pedigrees in clonal plant populations

Cites Work

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• Probability functions on complex pedigrees
• The rate of loss of multiple alleles in finite haploid populations
• The Characteristic Values and Vectors for a Class of Stochastic Matrices Arising in Genetics
• Equation of State Calculations by Fast Computing Machines
• Monte Carlo sampling methods using Markov chains and their applications
• Monte Carlo strategies in scientific computing

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