This is an introductory 2001 textbook on probability and induction written by one of the world's foremost philosophers of science. It offers a comprehensive course covering all basic definitions of induction and probability, and considers such topics as decision theory, Bayesianism, frequency ideas, and the philosophical problem of induction.
This is an introductory 2001 textbook on probability and induction written by one of the world's foremost philosophers of science. It offers a comprehensive course covering all basic definitions of induction and probability, and considers such topics as decision theory, Bayesianism, frequency ideas, and the philosophical problem of induction.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Ian Hacking is the winner of the Holberg International Memorial Prize 2009.
Inhaltsangabe
Part I. Logic: 1. Logic 2. What is inductive logic? Part II. How to Calculate Probabilities: 3. The gambler's fallacy 4. Elementary probability 5. Conditional probability 6. Basic laws of probability 7. Bayes' rule Part III. How to Combine Probabilities and Utilities: 8. Expected value 9. Maximizing expected value 10. Decision under uncertainty Part IV. Kinds of Probability: 11. What do you mean? 12. Theories about probability Part V. Probability as a Measure of Belief: 13. Personal probabilities 14. Coherence 15. Learning from experience Part VI. Probability as Frequency: 16. Stability 17. Normal approximations 18. Significance 19. Confidence and inductive behaviour Part VII. Probability Applied to Philosophy: 20. The philosophical problem of induction 21. Learning from experience as an evasion of the problem 22. Inductive behaviour as an evasion of the problem.
Part I. Logic: 1. Logic 2. What is inductive logic? Part II. How to Calculate Probabilities: 3. The gambler's fallacy 4. Elementary probability 5. Conditional probability 6. Basic laws of probability 7. Bayes' rule Part III. How to Combine Probabilities and Utilities: 8. Expected value 9. Maximizing expected value 10. Decision under uncertainty Part IV. Kinds of Probability: 11. What do you mean? 12. Theories about probability Part V. Probability as a Measure of Belief: 13. Personal probabilities 14. Coherence 15. Learning from experience Part VI. Probability as Frequency: 16. Stability 17. Normal approximations 18. Significance 19. Confidence and inductive behaviour Part VII. Probability Applied to Philosophy: 20. The philosophical problem of induction 21. Learning from experience as an evasion of the problem 22. Inductive behaviour as an evasion of the problem.
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