Titlebook: Bayesian Computation with R; Jim Albert Textbook 20071st edition Springer-Verlag New York 2007 Bayesian Inference.Hierarchical modeling.Ma

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Prozesse im Human Capital Management,el and describe algorithms to simulate from the joint distribution of regression parameters and error variance and the predictive distribution of future observations. One can judge the adequacy of the fitted model through use of the posterior predictive distribution and the inspection of the posteri

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right-atrium

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Using R to Interface with WinBUGS,The BUGS project is focused on the development of software to facilitate Bayesian fitting of complex statistical models using Markov chain Monte Carlo algorithms. In this chapter, we introduce the use of R in running WinBUGS, a stand-alone software program for the Windows operating system.

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Jim AlbertIntroduces Bayesian modeling by use of computation using the R language.Includes supplementary material: