Title: Applied Bayesian Statistics: With R and OpenBUGS Examples
Abstract: What is Bayesian statistics?.- Review of probability.- Introduction to one-parameter models.- Inference for a population proportion.- Special considerations in Bayesian inference.- Other one-parameter models and their conjugate priors.- More realism please: Introduction to multiparameter models.- Fitting more complex Bayesian models: Markov chain Monte Carlo.- Hierarchical models, and more on convergence assessment.- Regression and hierarchical regression models.- Model Comparison, Model Checking, and Hypothesis Testing.- References.- Index.
Publication Year: 2013
Publication Date: 2013-01-03
Language: en
Type: book
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Cited By Count: 49
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