Approximate Bayesian Computation: Bayesian inference, Posterior probability, Dynamical system, Prior probability, Sufficient statistic, Markov chain Monte Carlo, Particle filter - Softcover
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Approximate Bayesian computation (ABC) is a family of computational techniques in Bayesian statistics. These simulation techniques operate on summary data (such as population mean, or variance) to make broad inferences with less computation than might be required if all available data were analyzed in detail. They are especially useful in situations where evaluation of the likelihood is computationally prohibitive, or whenever suitable likelihoods are not available.
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Approximate Bayesian Computation
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. ApproximateBayesian computation (ABC) is a family of computational techniques inBayesian statistics. These simulation techniques operate on summary data(such as population mean, or variance) to make broad inferences withless computation than might be required if all available data wereanalyzed in detail. They are especially useful in situations whereevaluation of the likelihood is computationally prohibitive, or wheneversuitable likelihoods are not available.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Seller Inventory # 9786133779914
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Approximate Bayesian Computation : Bayesian inference, Posterior probability, Dynamical system, Prior probability, Sufficient statistic, Markov chain Monte Carlo, Particle filter
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