Approximate Bayesian Computation: Bayesian inference, Posterior probability, Dynamical system, Prior probability, Sufficient statistic, Markov chain Monte Carlo, Particle filter - Couverture souple

 
9786133779914: Approximate Bayesian Computation: Bayesian inference, Posterior probability, Dynamical system, Prior probability, Sufficient statistic, Markov chain Monte Carlo, Particle filter
Couverture souple
ISBN 10 : 6133779918 ISBN 13 : 9786133779914
Editeur : Alphascript Publishing, 2010

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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Éditeur
Alphascript Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
6133779918
ISBN 13 
9786133779914
Reliure
Broché
Nombre de pages
72
Éditeur
Miller Frederic P., Vandome Agnes F., McBrewster John
Coordonnées du fabricant
non disponible
Personne responsable
non disponible