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Markov Kette Monte Carlo: Stochastische Simulation für Bayessche Inferenz, hart...

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Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference, Hardcover by Gamerman, Dani; Lopes, Hedibert Freitas, ISBN 1584885874, ISBN-13 9781584885870, Like New Used, Free P&P in the UK 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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