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Current Trends in Bayesian Methodology with Applications
book

Current Trends in Bayesian Methodology with Applications

by Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan
May 2015
Intermediate to advanced content levelIntermediate to advanced
680 pages
22h 33m
English
Chapman and Hall/CRC
Content preview from Current Trends in Bayesian Methodology with Applications
250 Current Trends in Bayesian Methodology with Applications
the s ucc e ss of the selection depends on the prior density’s sparsity inducing
properties. In both cases, as one would expect, the c omputation can quickly
become prohibitive. To the best of our knowledge, one of the early papers
that formalized the currently used appro ach to B ayesian selection is [11], who
provide one of the earliest thoroug h details of the use of the g-prior of [26]
in Bayesian Variable Selection. It is important to note however that [12] pro-
vided an even earlier detailed account o n the computational implementation
of Bayesian Variable Selection via the Gibbs Sampling. Arguably, one of the
greatest appeals of the g-prior lies in the fact that it allows the computation ...
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Publisher Resources

ISBN: 9781482235128