Bayesian Modeling Using WinBUGS (Wiley Series in - download pdf or read online

By Ioannis Ntzoufras

A hands-on creation to the foundations of Bayesian modeling utilizing WinBUGS

Bayesian Modeling utilizing WinBUGS offers an simply available advent to using WinBUGS programming options in a number of Bayesian modeling settings. the writer presents an obtainable remedy of the subject, delivering readers a gentle advent to the rules of Bayesian modeling with special tips at the sensible implementation of key principles.

The publication starts with a easy advent 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 reveal captures illustrate using either WinBUGS in addition to R software program to use the mentioned concepts. workouts on the finish of every bankruptcy enable readers to check their figuring out of the offered techniques and all information units and code can be found at the book's similar internet site.

Requiring just a operating wisdom of chance concept and records, Bayesian Modeling utilizing WinBUGS serves as a great booklet for classes on Bayesian information on the upper-undergraduate and graduate degrees. it's also a helpful reference for researchers and practitioners within the fields of facts, 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

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