Abstract
Preface. 1. Introduction. 1.1 Two Examples. 1.1.1 Public School Class Sizes. 1.1.2 Value at Risk. 1.2 Observables, Unobservables, and Objects of Interest. 1.3 Conditioning and Updating. 1.4 Simulators. 1.5 Modeling. 1.6 Decisionmaking. 2. Elements of Bayesian Inference. 2.1 Basics. 2.2 Sufficiency, Ancillarity, and Nuisance Parameters. 2.2.1 Sufficiency. 2.2.2 Ancillarity. 2.2.3 Nuisance Parameters. 2.3 Conjugate Prior Distributions. 2.4...
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