Markov Chain Monte Carlo in Practice

Abstract

In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in Austria place a Bronze Age site in its true temporal location on the calendar scale. And in France,

Keywords

Markov chain Monte CarloMarkov chainMonte Carlo methodComputer scienceStatistical physicsMathematicsStatisticsMachine learningPhysics

Affiliated Institutions

Novartis (Switzerland) CH

Related Publications

Smooth Skyride through a Rough Skyline: Bayesian Coalescent-Based Inference of Population Dynamics

Vladimir N. Minin , Erik Bloomquist , Marc A. Suchard

Kingman's coalescent process opens the door for estimation of population genetics model parameters from molecular sequences. One paramount parameter of interest is the effective...

2008 Molecular Biology and Evolution 735 citations

The Bayesian Approach to Radiocarbon Calibration Curve Estimation: The IntCal13, Marine13, and SHCal13 Methodologies

Mu Niu , Timothy Heaton , Paul G. Blackwell +1 more

This article outlines the Bayesian models and methods used to facilitate construction of the 2013 internationally agreed radiocarbon calibration curves known as IntCal13, Marine...

2013 Radiocarbon 47 citations

IntCal09 and Marine09 Radiocarbon Age Calibration Curves, 0–50,000 Years cal BP

Paula Reimer , M. G. L. Baillie , Édouard Bard +25 more

The IntCal04 and Marine04 radiocarbon calibration curves have been updated from 12 cal kBP (cal kBP is here defined as thousands of calibrated years before AD 1950), and extende...

2009 Radiocarbon 4307 citations

Estimation of individual admixture: Analytical and study design considerations

Hua Tang , Jie Peng , Pei Wang +1 more

Abstract The genome of an admixed individual represents a mixture of alleles from different ancestries. In the United States, the two largest minority groups, African‐Americans ...

2005 Genetic Epidemiology 695 citations

CODA: convergence diagnosis and output analysis for MCMC

Martyn Plummer , Nicky Best , Kate Cowles +1 more

[1st paragraph] At first sight, Bayesian inference with Markov Chain Monte Carlo (MCMC) appears to be straightforward. The user defines a full probability model, perhaps using o...

2006 Open Research Online (The Open Univer... 3474 citations

Publication Info

Year: 1995
Type: book
Citations: 7724
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

Markov Chain Monte Carlo in Practice

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

7724

OpenAlex

Cite This

APA Style

                            
                                    Walter R. Gilks, 
                                
                                    Sylvia Richardson, 
                                
                                    David J. Spiegelhalter
                                
                            (1995). 
                            Markov Chain Monte Carlo in Practice. 
                            
                            .
                            https://doi.org/10.1201/b14835

Identifiers

DOI: 10.1201/b14835