A Tutorial on Reversible Jump MCMC with a View toward Applications in QTL-mapping

DOI10.1111/j.1751-5823.2001.tb00479.xzbMath1213.62177OpenAlexW2001857141MaRDI QIDQ4831989

Daniel Sorensen, Rasmus Waagepetersen

Publication date: 3 January 2005

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1751-5823.2001.tb00479.x

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05)

Related Items (6)

Bayesian model choice in cumulative link ordinal regression models ⋮ Control Variates for the Metropolis–Hastings Algorithm ⋮ Reversible jump MCMC for inference in a deterministic individual–based model of tree growth for studying forest dynamics ⋮ Improving multi-site benefit functions via Bayesian model averaging: A new approach to benefit transfer ⋮ Complex-valued Bayesian parameter estimation via Markov chain Monte Carlo ⋮ Bayesian model averaging in the instrumental variable regression model

Cites Work

• Optimum Monte-Carlo sampling using Markov chains
• Automatic Bayesian Curve Fitting
• Bayesian Analysis of Quantitative Trait Locus Data Using Reversible Jump Markov Chain Monte Carlo

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