Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Aggiungi al carrelloPF. Condizione: New.
Condizione: New. pp. 129.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 68,72
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EUR 77,38
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Aggiungi al carrelloPaperback. Condizione: Brand New. 144 pages. 9.25x6.10x0.32 inches. In Stock.
EUR 79,33
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Aggiungi al carrelloHardcover. Condizione: Brand New. 129 pages. 9.25x6.25x0.50 inches. In Stock.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing, 2018
ISBN 10: 331972424X ISBN 13: 9783319724249
Da: moluna, Greven, Germania
EUR 48,74
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Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 3319891812 ISBN 13: 9783319891811
Da: moluna, Greven, Germania
EUR 48,37
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3319891812 ISBN 13: 9783319891811
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Springer, Berlin, Springer International Publishing, Springer, 2018
ISBN 10: 331972424X ISBN 13: 9783319724249
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 57,68
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
EUR 50,35
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Likelihood-Free Methods for Cognitive Science | James J. Palestro (u. a.) | Taschenbuch | Computational Approaches to Cognition and Perception | xiv | Englisch | 2019 | Springer | EAN 9783319891811 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Jun 2019, 2019
ISBN 10: 3319891812 ISBN 13: 9783319891811
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 144 pp. Englisch.
Lingua: Inglese
Editore: Berlin Springer International Publishing Springer Feb 2018, 2018
ISBN 10: 331972424X ISBN 13: 9783319724249
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 129 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 73,43
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 129.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 73,44
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 129.
Lingua: Inglese
Editore: Springer, Springer Jun 2019, 2019
ISBN 10: 3319891812 ISBN 13: 9783319891811
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 144 pp. Englisch.