Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 74,40
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In den WarenkorbPaperback. Zustand: Brand New. 144 pages. 9.25x6.10x0.32 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 76,26
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In den WarenkorbHardcover. Zustand: Brand New. 129 pages. 9.25x6.25x0.50 inches. In Stock.
Zustand: New.
Sprache: Englisch
Verlag: Springer International Publishing, 2019
ISBN 10: 3319891812 ISBN 13: 9783319891811
Anbieter: moluna, Greven, Deutschland
EUR 48,37
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Springer International Publishing, 2018
ISBN 10: 331972424X ISBN 13: 9783319724249
Anbieter: moluna, Greven, Deutschland
EUR 48,74
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3319891812 ISBN 13: 9783319891811
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains the foundation of approximate Bayesian computation (ABC), an approach to Bayesian inference that does not require the specification of a likelihood function. As a result, ABC can be used to estimate posterior distributions of parameters for simulation-based models. Simulation-based models are now very popular in cognitive science, as are Bayesian methods for performing parameter inference. As such, the recent developments of likelihood-free techniques are an important advancement for the field. Chapters discuss the philosophy of Bayesian inference as well as provide several algorithms for performing ABC. Chapters also apply some of the algorithms in a tutorial fashion, with one specific application to the Minerva 2 model. In addition, the book discusses several applications of ABC methodology to recent problems in cognitive science. Likelihood-Free Methods for Cognitive Science will be of interest to researchers and graduate students working in experimental, applied, and cognitive science.
Sprache: Englisch
Verlag: Springer, Berlin, Springer International Publishing, Springer, 2018
ISBN 10: 331972424X ISBN 13: 9783319724249
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains the foundation of approximate Bayesian computation (ABC), an approach to Bayesian inference that does not require the specification of a likelihood function. As a result, ABC can be used to estimate posterior distributions of parameters for simulation-based models. Simulation-based models are now very popular in cognitive science, as are Bayesian methods for performing parameter inference. As such, the recent developments of likelihood-free techniques are an important advancement for the field. Chapters discuss the philosophy of Bayesian inference as well as provide several algorithms for performing ABC. Chapters also apply some of the algorithms in a tutorial fashion, with one specific application to the Minerva 2 model. In addition, the book discusses several applications of ABC methodology to recent problems in cognitive science. Likelihood-Free Methods for Cognitive Science will be of interest to researchers and graduate students working in experimental, applied, and cognitive science.