19 recherche sur le mot-clé 'Bayesian statistical decision theory'   

Statistical rethinking: a Bayesian course with examples in R and Stan / Richard McElreath (2016)  

Public ISBD Titre : Statistical rethinking: a Bayesian course with examples in R and Stan Type de document : livre Auteurs : Richard McElreath, Auteur Editeur : Boca Raton, Florida : CRC Press Année de publication : 2016 Collection : Chapman & Hall/CRC Texts in statistical science series num. 122 Importance : 469 p. ISBN/ISSN/EAN : 978-1-4822-5344-3 Prix : 54.39 GBP Note générale : Package R disponible sur le site internet de l'auteur (http://xcelab.net/rm/statistical-rethinking/) et son GitHub (https://github.com/rmcelreath/rethinking) Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  R (Computer program language)  Statistical methods  Models  Computer programming En ligne : https://www.crcpress.com/Statistical-Rethinking-A-Bayesian-Course-with-Examples- [...] Statistical rethinking: a Bayesian course with examples in R and Stan [livre] / Richard McElreath, Auteur . - Boca Raton, Florida : CRC Press, 2016 . - 469 p.. - (Chapman & Hall/CRC Texts in statistical science series; 122) . ISBN : 978-1-4822-5344-3 : 54.39 GBP Package R disponible sur le site internet de l'auteur (http://xcelab.net/rm/statistical-rethinking/) et son GitHub (https://github.com/rmcelreath/rethinking) Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  R (Computer program language)  Statistical methods  Models  Computer programming En ligne : https://www.crcpress.com/Statistical-Rethinking-A-Bayesian-Course-with-Examples- [...]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69523	MCE_11_69523	Livre	Salle des ouvrages	11_Mathématiques	Disponible

Bayesian decision analysis: principles and practice / Smith, J.Q. (2010)  

Public ISBD Titre : Bayesian decision analysis: principles and practice Type de document : livre Auteurs : Smith, J.Q. Mention d'édition : 1st ed. Editeur : New York : Cambridge University Press Année de publication : 2010 Importance : 338 p. ISBN/ISSN/EAN : 978-0-521-76454-4 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Statistical methods En ligne : http://books.google.com/books?id=bBaSNiKbxmAC&printsec=frontcover&dq=Bayesian+de [...] Bayesian decision analysis: principles and practice [livre] / Smith, J.Q.  . -  1st ed. . - New York : Cambridge University Press, 2010 . - 338 p. ISBN : 978-0-521-76454-4 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Statistical methods En ligne : http://books.google.com/books?id=bBaSNiKbxmAC&printsec=frontcover&dq=Bayesian+de [...]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
68960	SMI_11_68960	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043

Bayesian statistical modelling / Congdon, P. (2006)  

Public ISBD Titre : Bayesian statistical modelling Type de document : livre Auteurs : Congdon, P. Mention d'édition : 2nd ed. Editeur : Hoboken, New Jersey, USA : Wiley Année de publication : 2006 Collection : Wiley series in probability and statistics Importance : 573 p. ISBN/ISSN/EAN : 978-0-470-01875-0 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Modeling Résumé : Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets. [Résumé éditeur] En ligne : http://www.loc.gov/catdir/toc/ecip0617/2006023990.html Bayesian statistical modelling [livre] / Congdon, P.  . -  2nd ed. . - Hoboken, New Jersey, USA : Wiley, 2006 . - 573 p.. - (Wiley series in probability and statistics) . ISBN : 978-0-470-01875-0 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Modeling Résumé : Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets. [Résumé éditeur] En ligne : http://www.loc.gov/catdir/toc/ecip0617/2006023990.html

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
67830	CON_11_67830	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043

Statistical and bayesian methods in hydrological sciences: Méthodes statistiques et approches bayésiennes en hydrologie / Parent, E.(Dir.) (1998)

Public ISBD Titre : Statistical and bayesian methods in hydrological sciences: Méthodes statistiques et approches bayésiennes en hydrologie Type de document : livre Auteurs : Parent, E.(Dir.), Éditeur scientifique ; P. Hubert, Éditeur scientifique ; Bobée, B.(Dir.), Éditeur scientifique ; Miquel, J.(Dir.), Éditeur scientifique Editeur : Paris : UNESCO Année de publication : 1998 Collection : Technical documents in hydrology, 20 Importance : 489 p. ISBN/ISSN/EAN : IF62403 Note générale : Inventaire 2007: Pointé en rayon Langues : Anglais (eng) Français (fre) Mots-clés : Bayesian statistical decision theory  Hydrology  Statistical methods Statistical and bayesian methods in hydrological sciences: Méthodes statistiques et approches bayésiennes en hydrologie [livre] / Parent, E.(Dir.), Éditeur scientifique ; P. Hubert, Éditeur scientifique ; Bobée, B.(Dir.), Éditeur scientifique ; Miquel, J.(Dir.), Éditeur scientifique . - Paris : UNESCO, 1998 . - 489 p.. - (Technical documents in hydrology, 20) . ISSN : IF62403 Inventaire 2007: Pointé en rayon Langues : Anglais (eng) Français (fre) Mots-clés : Bayesian statistical decision theory  Hydrology  Statistical methods

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
62403	Par_11_62403	Livre	Salle des ouvrages	11_Mathématiques	Disponible

Bayesian models for categorical data / Congdon, P. (2005)  

Public ISBD Titre : Bayesian models for categorical data Type de document : livre Auteurs : Congdon, P. Editeur : Chichester, U.K. : Wiley Année de publication : 2005 Collection : Wiley series in probability and statistics Importance : 425 p. ISBN/ISSN/EAN : 978-0-470-09237-8 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Markov processes  Monte Carlo method  Multivariate analysis Résumé : The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive introduction to Bayesian methods of categorical outcomes. * Reviews recent Bayesian methodology for categorical outcomes (binary, count and multinomial data). * Considers missing data models techniques and non-standard models (ZIP and negative binomial). * Evaluates time series and spatio-temporal models for discrete data. * Features discussion of univariate and multivariate techniques. * Provides a set of downloadable worked examples with documented WinBUGS code, available from an ftp site. The author's previous 2 bestselling titles provided a comprehensive introduction to the theory and application of Bayesian models. Bayesian Models for Categorical Data continues to build upon this foundation by developing their application to categorical, or discrete data - one of the most common types of data available. The author's clear and logical approach makes the book accessible to a wide range of students and practitioners, including those dealing with categorical data in medicine, sociology, psychology and epidemiology. [Description éditeur] Note de contenu : Hbk; En ligne : http://www.loc.gov/catdir/toc/ecip058/2005005158.html Bayesian models for categorical data [livre] / Congdon, P. . - Chichester, U.K. : Wiley, 2005 . - 425 p.. - (Wiley series in probability and statistics) . ISBN : 978-0-470-09237-8 Langues : Anglais (eng) Mots-clés : Bayesian statistical decision theory  Markov processes  Monte Carlo method  Multivariate analysis Résumé : The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive introduction to Bayesian methods of categorical outcomes. * Reviews recent Bayesian methodology for categorical outcomes (binary, count and multinomial data). * Considers missing data models techniques and non-standard models (ZIP and negative binomial). * Evaluates time series and spatio-temporal models for discrete data. * Features discussion of univariate and multivariate techniques. * Provides a set of downloadable worked examples with documented WinBUGS code, available from an ftp site. The author's previous 2 bestselling titles provided a comprehensive introduction to the theory and application of Bayesian models. Bayesian Models for Categorical Data continues to build upon this foundation by developing their application to categorical, or discrete data - one of the most common types of data available. The author's clear and logical approach makes the book accessible to a wide range of students and practitioners, including those dealing with categorical data in medicine, sociology, psychology and epidemiology. [Description éditeur] Note de contenu : Hbk; En ligne : http://www.loc.gov/catdir/toc/ecip058/2005005158.html

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
68368	Con_11_68368	Livre	Salle des ouvrages	11_Mathématiques	Disponible

Bayesian data analysis / Gelman, A. (2014)

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The BUGS book: a practical introduction to Bayesian analysis / Lunn, David (2013)  

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Bayesian analysis made simple: an Excel GUI for WinBUGS / Woodward, Phillip (2012)

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Bayesian statistics: an introduction / Peter M. Lee (2012)  

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Structural equation modeling: a bayesian approach / Lee, S.-Y. (2007)

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