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Markov chain Monte Carlo in practice / edited by W.R. Gilks ; S. Richardson ; D.J. 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.

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Economics Engineering Mathematics Science Statistics Technology

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Accession Number: 9534

Site: Vernon O Content

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Binding Type: Hard Back

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Bayesian statistical decision theory/Statistical decision/Statistics/Mathematics/Science Markov processes/Stochastic processes/Probabilities/Mathematics/Science Mathematics/Science Monte Carlo method/Mathematical models/Simulation methods/Systems engineering/Engineering/Technology/Science Statistical matching/Sampling (Statistics)/Statistics/Mathematics/Science

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