By Ioannis Ntzoufras
Bayesian Modeling utilizing WinBUGS offers an simply obtainable creation to using WinBUGS programming innovations in a number of Bayesian modeling settings. the writer presents an obtainable therapy of the subject, providing readers a gentle creation to the foundations of Bayesian modeling with specified counsel 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 conceal 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 figuring out of the awarded strategies and all facts units and code can be found at the book's comparable internet site.
Requiring just a operating wisdom of likelihood conception and statistics, Bayesian Modeling utilizing WinBUGS serves as a very good booklet for classes on Bayesian information on the upper-undergraduate and graduate degrees. it's also a precious 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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Bayesian Modeling Using WinBUGS (Wiley Series in Computational Statistics) by Ioannis Ntzoufras