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Applied bayesian modeling and causal inference from incomplete data perspectives wiley series in probability and statistics series by andrew gelman. Bayesian data analysis is an important and fastgrowing discipline within the field of statistics. Using an analysis of covariance model as the point of departure, bayesian parameter estimation based on the gibbs sampler, bayesian hypothesis testing using posterior predictive inference, and bayesian model selection via the bayes factor will be introduced. Bayesian data analysis 3rd edition pdf now in its third edition, this classic book is widely considered the leading text on bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Here, we use bayesian inference regarding the population proportion as a simple example to discuss some basic concepts of bayesian methods.
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