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MCMC methods for putative pollution source problems in environmental epidemiology
Author(s) -
Lawson Andrew B.
Publication year - 1995
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780142115
Subject(s) - markov chain monte carlo , gibbs sampling , metropolis–hastings algorithm , variance (accounting) , computer science , statistics , markov chain , environmental epidemiology , monte carlo method , econometrics , cluster (spacecraft) , bayesian probability , mathematics , environmental health , medicine , accounting , business , programming language
This paper demonstrates the use of the Gibbs Sampler and other Markov Chain Monte Carlo (MCMC) methods in two applications in environmental epidemiology. The first example concerns the application of a Metropolis—Hastings/Gibbs sampler to a Cox process with a direction‐dependent cluster variance parameter. The second example consists of the estimation of the posterior (spatial) distribution of a putative location.