Handbook of bayesian variable selection
by Tadesse, Mahlet Vannucci, Marina
En 4e de couverture : "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 spa…
Read More ↓Title Statements
- Full title :Handbook of bayesian variable selection / edited by Mahlet G. Tadesse, Marina Vannucci.
Summary
En 4e de couverture : "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."
Read More ↓Edition Statements
- Publication Date:2022.
Publication Statements
- Publisher(s):CRC Press, Taylor & Francis Group
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:2022.
The Physical Object
- Description:1 vol. (XXIII-466 p.) : : fig. ; : 26 cm.
Edition Identifiers
- ISBN:9780367543761, 0367543761, 9780367543785, 0367543788
- oclc:on1369150805
- LC Classification:QA279.5
- Dewey Decimal:519.5/42
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