By Ioannis Ntzoufras
Bayesian Modeling utilizing WinBUGS presents an simply available creation to using WinBUGS programming suggestions in various Bayesian modeling settings. the writer offers an obtainable remedy of the subject, supplying readers a delicate advent to the foundations of Bayesian modeling with certain advice at the sensible implementation of key principles.
The e-book starts off with a easy creation to Bayesian inference and the WinBUGS software program and is going directly to disguise key themes, 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. workouts on the finish of every bankruptcy enable readers to check their realizing of the awarded innovations and all info units and code can be found at the book's comparable internet site.
Requiring just a operating wisdom of chance thought and information, Bayesian Modeling utilizing WinBUGS serves as a superb ebook for classes on Bayesian records on the upper-undergraduate and graduate degrees. it's also a useful reference for researchers and practitioners within the fields of records, actuarial technology, medication, 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