By Ioannis Ntzoufras
Bayesian Modeling utilizing WinBUGS presents an simply available creation to using WinBUGS programming suggestions in a number of Bayesian modeling settings. the writer offers an available remedy of the subject, supplying readers a gentle creation to the foundations of Bayesian modeling with specified assistance at the sensible implementation of key principles.
The booklet starts off with a easy creation to Bayesian inference and the WinBUGS software program and is going directly to hide 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 monitor captures illustrate using either WinBUGS in addition to R software program to use the mentioned strategies. workouts on the finish of every bankruptcy enable readers to check their realizing of the offered recommendations and all info units and code can be found at the book's comparable net site.
Requiring just a operating wisdom of chance concept and facts, Bayesian Modeling utilizing WinBUGS serves as a superb e-book for classes on Bayesian records on the upper-undergraduate and graduate degrees. it's also a invaluable 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