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Markov chain Monte Carlo in practice
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Markov chain Monte Carlo in practice

by W. Gilks, S. Richardson, D. Spiegelhalter

An introduction to Markov chain Monte Carlo (MCMC) methodology and its applications in fields such as epidemiology, genetics, and archaeology. The text focuses on practical implementation, model assessment, and performance improvement with minimal technical theory.

Accession 9534 ISBN 0412055511 Publisher Chapman and Hall, CRC Press
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Economics Engineering Mathematics Science Statistics Technology
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2026-06-01 16:33
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M:N3:6 3 Current vertical
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Identity

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Markov chain Monte Carlo in practice
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9534
vernon_slug
markov-chain-monte-carlo-in-practice-edited-by-wr-gilks-s-richardson-dj-spiegelhalter

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Descriptive

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1998
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This brief record was created for storage and loan purposes only.

Subjects & people

authors→ author (initial fill only)
W. Gilks, S. Richardson, D. Spiegelhalter
tags→ tags
Science, Mathematics, Engineering, Technology, Mathematical models, Simulation methods, Systems engineering, Stochastic processes, Probabilities, Statistics, Sampling (Statistics), Bayesian statistical decision theory, Statistical decision, Statistical matching, Monte Carlo method, Markov processes
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—
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