Markov Kette Monte Carlo: Stochastische Simulation für Bayessche Inferenz, hart...
111,40 €
Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference, Hardcover by Gamerman, Dani; Lopes, Hedibert Freitas, ISBN 1584885874, ISBN-13 9781584885870, Used Good Condition, Free shipping in the US This graduate textbook describes the Bayesian approach to inference, the properties of Markov chains, the Gibbs sampling technique for stochastic simulation, and the Metropolis-Hastings algorithm. The final chapter in the second edition adds sections on reversible jump, slice sampling, bridge sampling, path sampling, and delayed rejection. A web site provides R and WinBUGS code for the examples and exercises. Annotation ©2006 Book News, Inc., Portland, OR ()
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