By Ioannis Ntzoufras
Bayesian Modeling utilizing WinBUGS presents an simply obtainable creation to using WinBUGS programming recommendations in quite a few Bayesian modeling settings. the writer offers an available remedy of the subject, delivering readers a gentle creation to the rules of Bayesian modeling with unique assistance at the useful 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 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 display captures illustrate using either WinBUGS in addition to R software program to use the mentioned recommendations. workouts on the finish of every bankruptcy let readers to check their knowing of the provided innovations and all info units and code can be found at the book's similar net site.
Requiring just a operating wisdom of likelihood conception and statistics, Bayesian Modeling utilizing WinBUGS serves as a very good e-book for classes on Bayesian statistics on the upper-undergraduate and graduate degrees. it's also a important 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