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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
272 Current Trends in Bayesian Methodology with Applications
Ising and Potts models, the Swendsen-Wang Cuts (SWC) method [2] gener-
alized SW to arbitrary posterior probabilities defined on graph partitions.
The SWC method relies on a weighted adjacency graph G =< V, E >
where each edge weight q
e
, e =< i, j > E encodes an estimate of the prob-
ability that the two end nodes i, j belong to the same partition label. The
idea of the SWC method is to construct a random graph in a similar manner
to the SW but based on the edge weights, then select one connected compo-
nent at random and accept a label flip of all nodes in that component with a
probability ...
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Publisher Resources

ISBN: 9781482235128