By Ioannis Ntzoufras
Bayesian Modeling utilizing WinBUGS presents an simply available advent to using WinBUGS programming concepts in various Bayesian modeling settings. the writer presents an available remedy of the subject, supplying readers a tender advent to the foundations of Bayesian modeling with certain suggestions at the sensible implementation of key principles.
The publication starts with a uncomplicated creation to Bayesian inference and the WinBUGS software program and is going directly to hide key subject matters, including:
Markov Chain Monte Carlo algorithms in Bayesian inference
Generalized linear models
Bayesian hierarchical models
Predictive distribution and version checking
Bayesian version and variable evaluation
Computational notes and monitor captures illustrate using either WinBUGS in addition to R software program to use the mentioned concepts. routines on the finish of every bankruptcy let readers to check their figuring out of the provided recommendations and all info units and code can be found at the book's comparable net site.
Requiring just a operating wisdom of chance idea and facts, Bayesian Modeling utilizing WinBUGS serves as a good ebook for classes on Bayesian facts on the upper-undergraduate and graduate degrees. it's also a worthwhile reference for researchers and practitioners within the fields of facts, actuarial technological know-how, drugs, and the social sciences who use WinBUGS of their daily work.
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Bayesian Modeling Using WinBUGS (Wiley Series in Computational Statistics) by Ioannis Ntzoufras