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Book Synopsis Statistical Decision Rules and Optimal Inference by : N. N. Cencov
Download or read book Statistical Decision Rules and Optimal Inference written by N. N. Cencov and published by American Mathematical Soc.. This book was released on 2000-04-19 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: None available in plain English.
Book Synopsis Statistical Decision Rules and Optimal Inference by :
Download or read book Statistical Decision Rules and Optimal Inference written by and published by . This book was released on 1980 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Decision Rules and Optimal Inference by : N. N. Cencov
Download or read book Statistical Decision Rules and Optimal Inference written by N. N. Cencov and published by American Mathematical Soc.. This book was released on 2000-04-19 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: None available in plain English.
Download or read book Statistical Decision written by and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Decision Series written by and published by . This book was released on 1960 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
The book studies the question of how to make statistical analysis in games. It introduces a new equilibrium concept for games with incomplete information and noisy inaccurate observation of action: Bayesian rational prior equilibrium. A rational prior belief correctly predicts the strategy of a player given his type. The rational prior Bayesian decision rule is an un-dominated decision rule for its makes efficient use of all available information, including the information on the type and the information on the action of the other players. When all players use the rational prior Bayesian decision rule, the game is in its Bayesian rational prior equilibrium and achieves rationality in action/strategy, beliefs (both prior and posterior) and decision rule as well as consistency between beliefs and equilibrium strategies/actions. Four applications illustrate the properties of the Bayesian rational prior equilibrium and the method of solving games and doing formal analysis: a market leadership game, a statistical discrimination model, an inflationary belief game and an arms race model.
Book Synopsis Decision Rule, Belief and Strategy by : Jimmy Teng
Download or read book Decision Rule, Belief and Strategy written by Jimmy Teng and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book studies the question of how to make statistical analysis in games. It introduces a new equilibrium concept for games with incomplete information and noisy inaccurate observation of action: Bayesian rational prior equilibrium. A rational prior belief correctly predicts the strategy of a player given his type. The rational prior Bayesian decision rule is an un-dominated decision rule for its makes efficient use of all available information, including the information on the type and the information on the action of the other players. When all players use the rational prior Bayesian decision rule, the game is in its Bayesian rational prior equilibrium and achieves rationality in action/strategy, beliefs (both prior and posterior) and decision rule as well as consistency between beliefs and equilibrium strategies/actions. Four applications illustrate the properties of the Bayesian rational prior equilibrium and the method of solving games and doing formal analysis: a market leadership game, a statistical discrimination model, an inflationary belief game and an arms race model.
Book Synopsis Statistical Decision Theory in Adaptive Control Systems by : Yoshikazu Sawaragi
Download or read book Statistical Decision Theory in Adaptive Control Systems written by Yoshikazu Sawaragi and published by . This book was released on 1967 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a comprehensive introduction to statistical methodology for the evaluation and discovery of dynamic treatment regimes from data. Researchers and graduate students in statistics, data science, and related quantitative disciplines with a background in probability and statistical inference and popular statistical modeling techniques will be prepared for further study of this rapidly evolving field. A dynamic treatment regime is a set of sequential decision rules, each corresponding to a key decision point in a disease or disorder process, where each rule takes as input patient information and returns the treatment option he or she should receive. Thus, a treatment regime formalizes how a clinician synthesizes patient information and selects treatments in practice. Treatment regimes are of obvious relevance to precision medicine, which involves tailoring treatment selection to patient characteristics in an evidence-based way. Of critical importance to precision medicine is estimation of an optimal treatment regime, one that, if used to select treatments for the patient population, would lead to the most beneficial outcome on average. Key methods for estimation of an optimal treatment regime from data are motivated and described in detail. A dedicated companion website presents full accounts of application of the methods using a comprehensive R package developed by the authors. The authors’ website www.dtr-book.com includes updates, corrections, new papers, and links to useful websites.
Book Synopsis Dynamic Treatment Regimes by : Anastasios A. Tsiatis
Download or read book Dynamic Treatment Regimes written by Anastasios A. Tsiatis and published by CRC Press. This book was released on 2019-12-19 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a comprehensive introduction to statistical methodology for the evaluation and discovery of dynamic treatment regimes from data. Researchers and graduate students in statistics, data science, and related quantitative disciplines with a background in probability and statistical inference and popular statistical modeling techniques will be prepared for further study of this rapidly evolving field. A dynamic treatment regime is a set of sequential decision rules, each corresponding to a key decision point in a disease or disorder process, where each rule takes as input patient information and returns the treatment option he or she should receive. Thus, a treatment regime formalizes how a clinician synthesizes patient information and selects treatments in practice. Treatment regimes are of obvious relevance to precision medicine, which involves tailoring treatment selection to patient characteristics in an evidence-based way. Of critical importance to precision medicine is estimation of an optimal treatment regime, one that, if used to select treatments for the patient population, would lead to the most beneficial outcome on average. Key methods for estimation of an optimal treatment regime from data are motivated and described in detail. A dedicated companion website presents full accounts of application of the methods using a comprehensive R package developed by the authors. The authors’ website www.dtr-book.com includes updates, corrections, new papers, and links to useful websites.
Book Synopsis Statistical Decision Series by : Harvard Business Review
Download or read book Statistical Decision Series written by Harvard Business Review and published by . This book was released on 1967 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Sensitivity of Optimal Strategies in Finite Statistical Decision Problems to Variations in Parameters by : Robert LeRoy Bovey
Download or read book The Sensitivity of Optimal Strategies in Finite Statistical Decision Problems to Variations in Parameters written by Robert LeRoy Bovey and published by . This book was released on 1964 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt:
