Buch, Englisch, 398 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 647 g
Reihe: Cambridge Studies in Probability, Induction and Decision Theory
Buch, Englisch, 398 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 647 g
Reihe: Cambridge Studies in Probability, Induction and Decision Theory
ISBN: 978-0-521-64975-9
Verlag: Cambridge University Press
This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the consequences of this turn for Bayesian statistics. There are four principal themes to the collection: cooperative, non-sequential decisions; the representation and measurement of 'partially ordered' preferences; non-cooperative, sequential decisions; and pooling rules and Bayesian dynamics for sets of probabilities. The volume will be particularly valuable to philosophers concerned with decision theory, probability, and statistics, statisticians, mathematicians, and economists.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Mathematik Allgemein Philosophie der Mathematik
- Geisteswissenschaften Philosophie Philosophische Logik, Argumentationstheorie
- Geisteswissenschaften Philosophie Philosophie der Mathematik, Philosophie der Physik
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
Weitere Infos & Material
Introduction
Part I. Decision Theory for Cooperative Decision-Making: 1. Shared preferences of two Bayesian decision makers
2. Decisions without ordering
3. A representation of partially ordered preferences
Part II. The Truth About Consequences: 4. Separating probability elicitation from utilities
5. State-dependent utilities
6. Shared preferences and state-dependent utilities
7. A conflict between finitely additive probability and avoiding Dutch book
8. Statistical implications of finitely additive probability
Part III. Non-Cooperative Decision Making, Inference, and Learning with Shared Evidence: 9. Subjective probability and the theory of games
10. Equilibrium, common knowledge, and optimal sequential decisions
11. A fair minimax theorem for 2 person (zero-sum) games involving finitely additive strategies
12. Randomization in a Bayesian perspective
13. Characterizations of externally Bayesian pooling operators
14. An approach to consensus and certainty with increasing evidence
15. Reasoning to a foregone conclusion
16. When several Bayesians agree that there will be no reasoning to a foregone conclusion.
