Statistical decision theory and Bayesian analysis / James O. Berger Berger, James O

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Author
Berger, James O
Subjects
Statistical decision.; Bayesian statistical decision theory.
Contents
  • Machine derived contents note: 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.
Wikipedia
Read associated articles: Admissible decision rule, Bayes estimator, Bayesian inference, Bayesian probability, Decision theory, Info-gap decision theory, Invariant estimator, James Berger (statistician), Loss function, Mean squared error, Minimax estimator, Optimal decision, Prior probability, Reductionism, Risk function, Utility
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http://trove.nla.gov.au/work/11056908
Work ID
11056908

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