Discovering disease genes: multipoint linkage analysis via a new Markov chain Monte Carlo approach

DOI10.1214/ss/1081443233zbMath1055.62121OpenAlexW1977620355MaRDI QIDQ1764319

Xianqiang Yang

Publication date: 24 February 2005

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/ss/1081443233

zbMATH Keywords

integrated proposalsjoint Gibbs updatesMetropolis-Hastings restartssequential imputation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Numerical analysis or methods applied to Markov chains (65C40) Genetics and epigenetics (92D10)

Cites Work

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• Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes
• MCMC Estimation of Multi‐locus Genome Sharing and Multipoint Gene Location Scores
• Monte Carlo Estimation of Mixed Models for Large Complex Pedigrees
• Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference
• A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
• Monte Carlo sampling methods using Markov chains and their applications

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