2 recherche sur le mot-clé 'Bayesian theory'   

Likelihood and Bayesian inference: with applications in biology and medicine / Leonhard Held (2020)  

Public ISBD Titre : Likelihood and Bayesian inference: with applications in biology and medicine Type de document : livre Auteurs : Leonhard Held, Auteur ; Daniel Sabanés Bové, Auteur Mention d'édition : 2nd ed. Editeur : Berlin : Springer Année de publication : 2020 Collection : Statistics for biology and health Importance : 402 p. ISBN/ISSN/EAN : 978-3-662-60794-7 Prix : 58.01 EUR Note générale : Description based upon print version of record. 6.3.3 Jeffreys' Prior Distributions Academic; DOI:10.1007/978-3-662-60792-3 Langues : Anglais (eng) Mots-clés : Statistical methods  Bayesian theory  Data analysis Résumé : L'éditeur indique : This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic. In the second part of the book, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book “Applied Statistical Inference” has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text is primarily intended for graduate statistics and biostatistics students with an interest in applications. En ligne : https://doi.org/10.1007/978-3-662-60792-3 Likelihood and Bayesian inference: with applications in biology and medicine [livre] / Leonhard Held, Auteur ; Daniel Sabanés Bové, Auteur  . -  2nd ed. . - Berlin : Springer, 2020 . - 402 p.. - (Statistics for biology and health) . ISBN : 978-3-662-60794-7 : 58.01 EUR Description based upon print version of record. 6.3.3 Jeffreys' Prior Distributions Academic; DOI:10.1007/978-3-662-60792-3 Langues : Anglais (eng) Mots-clés : Statistical methods  Bayesian theory  Data analysis Résumé : L'éditeur indique : This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic. In the second part of the book, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book “Applied Statistical Inference” has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text is primarily intended for graduate statistics and biostatistics students with an interest in applications. En ligne : https://doi.org/10.1007/978-3-662-60792-3

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69842	HEL_11_69842	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043

Handbook of Bayesian variable selection / Mahlet Tadesse (2022)  

Public ISBD Titre : Handbook of Bayesian variable selection Type de document : livre Auteurs : Mahlet Tadesse, Éditeur scientifique ; Marina Vannucci, Éditeur scientifique Mention d'édition : 1st ed. Editeur : Boca Raton, Florida : CRC Press Année de publication : 2022 Collection : Handbooks of modern statistical methods Importance : 466 p. ISBN/ISSN/EAN : 978-0-367-54376-1 Prix : 140.00 GBP Note générale : DOI:10.1201/9781003089018; Website for code, data, and other supplementary material : http://www.stat.rice.edu/~marina/BVSBOOK2022/SUPPLEMENT/supportmaterial.html Langues : Anglais (eng) Mots-clés : Statistical methods  Bayesian theory  Manuals Résumé : La 4ème de couv. indique : "Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number of potential predictors is substantially larger than the sample size and sparsity can reasonably be assumed. The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. The topics covered include spike-and-slab priors, continuous shrinkage priors, Bayes factors, Bayesian model averaging, partitioning methods, as well as variable selection in decision trees and edge selection in graphical models. The handbook targets graduate students and established researchers who seek to understand the latest developments in the field. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions" En ligne : https://www.routledge.com/Handbook-of-Bayesian-Variable-Selection/Tadesse-Vannuc [...] Handbook of Bayesian variable selection [livre] / Mahlet Tadesse, Éditeur scientifique ; Marina Vannucci, Éditeur scientifique  . -  1st ed. . - Boca Raton, Florida : CRC Press, 2022 . - 466 p.. - (Handbooks of modern statistical methods) . ISBN : 978-0-367-54376-1 : 140.00 GBP DOI:10.1201/9781003089018; Website for code, data, and other supplementary material : http://www.stat.rice.edu/~marina/BVSBOOK2022/SUPPLEMENT/supportmaterial.html Langues : Anglais (eng) Mots-clés : Statistical methods  Bayesian theory  Manuals Résumé : La 4ème de couv. indique : "Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number of potential predictors is substantially larger than the sample size and sparsity can reasonably be assumed. The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. The topics covered include spike-and-slab priors, continuous shrinkage priors, Bayes factors, Bayesian model averaging, partitioning methods, as well as variable selection in decision trees and edge selection in graphical models. The handbook targets graduate students and established researchers who seek to understand the latest developments in the field. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions" En ligne : https://www.routledge.com/Handbook-of-Bayesian-Variable-Selection/Tadesse-Vannuc [...]

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69834	TAD_11_69834	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 25/05/2043