Introduction: Credibility, Models, and Parameters

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2.1. Bayesian Inference Is Reallocation of Credibility Across Possibilities . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 2.1.1 Data are noisy and inferences are probabilistic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.2. Possibilities Are Parameter Values in Descriptive Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.3. The Steps of Bayesian Data Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.3.1 Data analysis without parametric models? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 2.4. Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31

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تاریخ انتشار 2014