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Markov Chain Monte Carlo

- Stochastic Simulation for Bayesian Inference, Second Edition

About 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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  • Language:
  • English
  • ISBN:
  • 9781584885870
  • Binding:
  • Hardback
  • Pages:
  • 342
  • Published:
  • May 9, 2006
  • Edition:
  • 2
  • Dimensions:
  • 162x239x23 mm.
  • Weight:
  • 648 g.
Delivery: 2-3 weeks
Expected delivery: December 14, 2024

Description 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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