Handbook of Bayesian Variable Selection

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Handbook of Bayesian Variable Selection&image=https://i.gr-assets.com/images/S/compressed.photo.goodreads.com/books/1635861333l/58536993.jpg

But before reading a little synopsis first, I will include it below ...

 

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

 

And this is as detailed as the book ...

 

Author : Mahlet G Tadesse

Pages : 490 pages

Publisher : CRC Press

Language :

ISBN-10 : 0367543761

ISBN-13 : 9780367543761

 

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Handbook of Bayesian Variable Selection

 

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