Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference (Texts in Statistical Science)

by Dani Gamerman (Author), HedibertF.Lopes (Author)

• New

  Hardcover
  2006

  $130.00

  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.