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Markov Chain Monte Carlo
- Stochastic Simulation for Bayesian Inference, Second Edition
- Binding:
- Hardback
- Pages:
- 342
- Published:
- May 10, 2006
- Edition:
- 2
- Dimensions:
- 162x239x23 mm.
- Weight:
- 648 g.
Delivery:
2-3 weeks
Expected delivery: July 25, 2024
About Dani (University Federal Do Rio de Janeiro Gamerman
View all books by Dani (University Federal Do Rio de Janeiro GamermanDescription of Markov Chain Monte Carlo
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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