De Finetti's Philosophy of Probability | |
Introductory Lecture | p. 1 |
Decisions and Proper Scoring Rules | p. 15 |
Geometric Representation of Brier's Rule | p. 27 |
Bayes' Theorem | p. 31 |
Physical Probability and Complexity | p. 47 |
Stochastic Independence and Random Sequences | p. 59 |
Superstition and Frequentism | p. 69 |
Exchangeability | p. 75 |
Distributions | p. 87 |
The Concept of Mean | p. 97 |
Induction and Sample Randomization | p. 109 |
Complete Additivity and Zero Probabilities | p. 113 |
The Definitions of Probability | p. 127 |
The Gambler's Fallacy | p. 137 |
"Facts" and "Events" | p. 149 |
"Facts" and "Events": An Example | p. 159 |
Prevision, Random Quantities, and Trievents | p. 165 |
Desire Andre's Argument | p. 177 |
Characteristic Functions | p. 185 |
Cited Literature | p. 191 |
Name Index | p. 209 |
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