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Statistical Decision Theory and Bayesian Analysis

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TLDR
An overview of statistical decision theory, which emphasizes the use and application of the philosophical ideas and mathematical structure of decision theory.
Abstract
1. Basic concepts 2. Utility and loss 3. Prior information and subjective probability 4. Bayesian analysis 5. Minimax analysis 6. Invariance 7. Preposterior and sequential analysis 8. Complete and essentially complete classes Appendices.

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Probabilistic effects in data selection

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Cue combination in human spatial navigation.

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Stopped Myopic Policies in Some Inventory Models with Generalized Demand Processes

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Estimation of scale parameter under entropy loss function

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