Skip to Main Content
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 Uncertainty Analysis for Nonignorable Nonresponse 425
‘burn-in’ and took each iter ate thereafter. We found negligible a utocorrela-
tions among the iterates, and so it is good that ‘thinning’ is not needed. We
have also run the Geweke test of stationarity on µ
o
, µ
1
, µ
2
, µ
3
and τ and found
no evidence of nonstationarity. For numerical summaries, we use the poste-
rior mean (PM), posterior standard deviation (PSD) and CI with coverage
probability 0.95.
Let P denote the finite population prop ortion of Slovenians who would
attend the plebiscite and vote for independence. We show how to make infer-
ence about P under the nonignorable nonresponse model; the idea is the same
under similar models. [10] and [19] made inference about the superpopulation ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Case Studies in Bayesian Statistical Modelling and Analysis

Case Studies in Bayesian Statistical Modelling and Analysis

Clair L. Alston, Kerrie L. Mengersen, Anthony N. Pettitt

Publisher Resources

ISBN: 9781482235128