Markov Chain Monte Carlo
Stochastic Simulation for Bayesian Inference, Second Edition
af Dani (University Federal Do Rio de Janeiro Gamerman
Bog, Hardback, Engelsk, 2006
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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Bogdetaljer
- SprogEngelsk
- IndbindingHardback
- ISBN9781584885870
- Udgivet10/05/2006
- Udgivet afTaylor & Francis Inc
- Længde342 sider
- ForfatterDani (University Federal Do Rio de Janeiro Gamerman
- GenreBusiness og læring