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Philosophical Lectures on Probability

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Cover of 'Philosophical Lectures on Probability'

Table of Contents

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    Book Overview
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    Chapter 1 Introductory Lecture
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    Chapter 2 Decisions and Proper Scoring Rules
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    Chapter 3 Geometric Representation of Brier’s Rule
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    Chapter 4 Bayes’ Theorem
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    Chapter 5 Physical Probability and Complexity
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    Chapter 6 Stochastic Independence and Random Sequences
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    Chapter 7 Superstition and Frequentism
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    Chapter 8 Exchangeability
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    Chapter 9 Distributions
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    Chapter 10 The Concept of Mean
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    Chapter 11 Induction and Sample Randomization
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    Chapter 12 Complete Additivity and Zero Probabilities
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    Chapter 13 The Definitions of Probability
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    Chapter 14 The Gambler’s Fallacy
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    Chapter 15 “Facts” and “Events”
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    Chapter 16 “Facts” and “Events”: An Example
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    Chapter 17 Prevision, Random Quantities, and Trievents
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    Chapter 18 Désir André’s Argument
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    Chapter 19 Characteristic Functions
Attention for Chapter 16: “Facts” and “Events”: An Example
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