Bayesian Modeling Using WinBUGS
February 2009, ©2009
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- Detailed examples will be provided ranging from the very basic to the more advanced; they will also reflect realistic data sets (available from the Internet).
- An underlying emphasis is given to Generalized Linear Models (GLMs) that are familiar to most readers and researchers.
- Details are given concerning (1) modeling building, (2) prior specification, (3) writing WinBUGS code, and (4) analyzing and interpreting WinBUGS output.
- Carefully constructed exercise sets with subroutine explanations are provided at the ends of chapters so as to reinforce the concepts and techniques that are discussed in the text. Their solutions are available on the Internet, along with the above mentioned data sets.