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Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.

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Need a good book on Dirichlet Process

Bayesian Reasoning and Machine Learning by David Barber have a suggested chapters to read for certain class and DP only requires 4-5 chapters in there. … I'm reading some Bayesian hierarchical modeling in ecology and the book approach is first model it down then translate to Bayesian graphic model then breaks it down. …