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9780415282512

Probability: A Philosophical Introduction

by ;
  • ISBN13:

    9780415282512

  • ISBN10:

    0415282519

  • Edition: 1st
  • Format: Nonspecific Binding
  • Copyright: 2005-07-12
  • Publisher: Routledge

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Summary

Probability: A Philosophical Introductionpresents the basic concepts of probability to philosophy students who are new to this area of the subject. Probability plays an important part in many areas of philosophy, such as causation in metaphysics, induction in philosophy of science, and belief and justification in epistemology. This book: * assumes no mathematical background and keeps the technicalities to a minimum * explains the most important applications of probability theory to philosophy * outlines the different kinds of probability and assesses the strengths and weaknesses of each * introduces and discusses key terms such as propensity, frequency, evidence and credence D.H. Mellor presents and compares theories of probability in a simple and impartial way, makingProbability: A PhilosophicalIntroductionessential reading for any philosophy student confronted with probability for the first time.

Table of Contents

Preface xi
Introduction and Summary
Introduction
1(2)
Summary
3(4)
Kinds of Probability
Introduction
7(2)
Chances
9(1)
Epistemic Probabilities
10(1)
Credences
11(1)
How Kinds of Probability Differ
12(1)
Probabilities of Complex Propositions
13(1)
Conditional Probabilities
14(1)
Numerical Probabilities
15(3)
Pure and Applied Probability
18(3)
Classical Probabilities
Introduction
21(1)
Two Kinds of Possibility
22(1)
Credences
23(1)
Sample Spaces
24(2)
Infinite Sample Spaces
26(1)
Indifference
27(2)
Chances
29(3)
Frequencies
Credences
32(1)
Epistemic Probabilities
33(2)
Humean Chances
35(3)
Frequentism and Classicism
38(2)
Limiting Frequencies
40(2)
Hypothetical Frequencies
42(3)
Possibilities and Propensities
Modal Chances
45(4)
Propensities
49(2)
Dispositions
51(2)
Dispositional Chances
53(5)
Chance and Necessity
58(3)
Modality versus Propensity
61(1)
The Existence of Chances
62(3)
Credence
Degrees of Belief
65(2)
Betting and Belief
67(2)
Coherence
69(2)
Approximate Credences
71(3)
Decision Theory
74(5)
Confirmation
Measuring Evidential Support
79(1)
Epistemic and Other Probabilities
80(2)
Inductive Logic
82(2)
Chances as Evidence
84(3)
Confirmation Relations
87(3)
Conditionalisation
Conditional Probability
90(1)
The Pro Rata Rule
91(2)
Epistemic Probabilities
93(1)
Problems with Priors
94(2)
Prior Credences
96(1)
Bayes's Theorem
97(2)
Bayesianism
99(2)
Input Credences
Perception
101(2)
Consistency
103(2)
Reliability
105(3)
Uncertain Evidence
108(4)
Questions for Bayesians
Sample Spaces
112(2)
Bayes's Proposition 3
114(2)
Decisions and Credences
116(3)
Conditional Bets
119(2)
Imaging
121(1)
Non-Bayesian Behaviour
122(3)
Conclusion
125(2)
Chance, Frequency and Credence
The Straight Rule
127(2)
The Large Numbers Link
129(2)
Independence
131(2)
Chances and Estimates
133(1)
Exchangeability
134(1)
Frequencies and Credences
135(3)
Subjectivism
138(4)
References 142(5)
Index 147

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