Posterior predictive scimulation Checks for hierarchical Bayesian Modelling
Problem statement: Assessing the plausibility of a posited model is always fundamental in order to evaluate and examine its performance. Such assessment is essential in the field of Bayesian data analysis. A Bayesian analysis can be very misleading when the model is far from plausible. Thus, any Bay...
Main Authors: | M. Elobaid, Rafida, Ibrahim, Noor Akma |
---|---|
Format: | Article |
Language: | English English |
Published: |
CESER Publications
2010
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/16255/1/Posterior%20predictive%20scimulation%20Checks%20for%20hierarchical%20Bayesian%20Modelling.pdf |
Similar Items
-
Hierarchical Bayesian Spatial Models for Disease Mortality Rates
by: Mohamed Elobaid, Rafida
Published: (2009) -
Bayesian network technologies : applications and graphical models /
by: Mittal, Ankush, et al.
Published: (2007) -
Introduction to hierarchical Bayesian modeling for ecological data /
by: Parent, E. (Eric), 1957-, author, et al.
Published: (c201) -
Applied Bayesian hierarchical methods /
by: 318139 Congdon, P.
Published: (2010) -
Bayesian data analysis /
by: Gelman, Andrew
Published: (1995)