| 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 [...] |
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