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Bøger af Dani (University Federal Do Rio de Janeiro Gamerman

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  • - Stochastic Simulation for Bayesian Inference, Second Edition
    af Dani (University Federal Do Rio de Janeiro Gamerman
    1.269,95 kr.

    Incorporating changes in theory and highlighting various applications, this book presents a comprehensive introduction to the methods of Markov Chain Monte Carlo (MCMC) simulation technique. It incorporates the developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection.

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