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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
A Bayesian Reweighting Technique for Small Area Estimation 513
in CO [35]. It can adopt the g e neralised model operated in the GREGWT to
link the sample and unobserved units in the population. In contrast, from the
viewpoint of CO, this method us e s the MCMC s imulation with a posterior
density based iterative algorithm. As the joint posterior probabilities of pa-
rameters for the sample units and unobserved population units are estimated
through MCMC, this microda ta simulation methodology is somewhat linked
with a chain Monte Carlo sampling. However, it is rather different from the
multiple imputation technique advanced by Rubin [30] and o thers. ...
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Publisher Resources

ISBN: 9781482235128