Philosophy of probability and statistical modelling
著者
書誌事項
Philosophy of probability and statistical modelling
（Cambridge elements, . Elements in the philosophy of science / edited by Robert Northcott,
Cambridge University Press, 2020
- : pbk
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注記
Includes bibliographical references (p. [62]-66)
内容説明・目次
内容説明
This Element has two main aims. The first one (sections 1-7) is an historically informed review of the philosophy of probability. It describes recent historiography, lays out the distinction between subjective and objective notions, and concludes by applying the historical lessons to the main interpretations of probability. The second aim (sections 8-13) focuses entirely on objective probability, and advances a number of novel theses regarding its role in scientific practice. A distinction is drawn between traditional attempts to interpret chance, and a novel methodological study of its application. A radical form of pluralism is then introduced, advocating a tripartite distinction between propensities, probabilities and frequencies. Finally, a distinction is drawn between two different applications of chance in statistical modelling which, it is argued, vindicates the overall methodological approach. The ensuing conception of objective probability in practice is the 'complex nexus of chance'.
目次
- Introduction
- 1. The Archaeology of Probability
- 2. The Classical Interpretation: Equipossibility
- 3. The Logical Interpretation: Indifference
- 4. The Subjective Interpretation: Credence
- 5. The Reality of Chance: Empiricism and Pragmatism
- 6. The Frequency Interpretation: Actual and Hypothetical Frequencies
- 7. The Propensity Interpretation: Single Case and Long Run
- 8. Interpreting and Applying Objective Probability
- 9. The Explanatory Argument and Ontology
- 10. Metaphysical Pluralism: The Tripartite Conception
- 11. Methodological Pragmatism: The Complex Nexus of Chance
- 12. Two Types of Statistical Modelling
- 13. Towards a Methodology of Chance Explanation.
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