By Ioannis Ntzoufras
Bayesian Modeling utilizing WinBUGS presents an simply obtainable creation to using WinBUGS programming recommendations in numerous Bayesian modeling settings. the writer presents an available remedy of the subject, supplying readers a soft advent to the rules of Bayesian modeling with exact counsel at the sensible implementation of key principles.
The e-book starts off with a uncomplicated advent to Bayesian inference and the WinBUGS software program and is going directly to disguise key issues, 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 display captures illustrate using either WinBUGS in addition to R software program to use the mentioned ideas. routines on the finish of every bankruptcy permit readers to check their figuring out of the offered innovations and all facts units and code can be found at the book's comparable net site.
Requiring just a operating wisdom of likelihood thought and facts, Bayesian Modeling utilizing WinBUGS serves as a very good publication for classes on Bayesian statistics on the upper-undergraduate and graduate degrees. it's also a necessary reference for researchers and practitioners within the fields of information, actuarial technology, medication, and the social sciences who use WinBUGS of their daily work.
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