Thesis ID: CBB001562246

Bayesian Scientific Methodology: A Naturalistic Approach (2002)

unapi

Yeo, Yeongseo (Author)


University of Missouri-Columbia
Weirich, Paul


Publication Date: 2002
Edition Details: Advisor: Weirich, Paul
Physical Details: 196 pp.
Language: English

Can Bayesianism be a naturalistic theory? Bayesianism is a probabilistic approach in the study of scientific arguments that provides a foundation for analyzing scientific judgments and practices. Naturalism, on the other hand, is a program suggesting that philosophical problems are to be dealt by the methods of scientists. The compatibility problem between these two programs arises from the assumption that Bayesianism is a priori or unrealistically idealistic. In this dissertation, I refute this assumption, and suggest how Bayesianism can be developed as a naturalistic scientific methodology. I argue that this assumption is a fundamental ground of some old problems of Bayesianism, such as the subjectivity of Bayesian probability, the problem posed by psychological experiments, and the problem of old evidence. After characterizing these old problems of Bayesianism as the naturalistic challenges and dissolving them by developing Bayesianism as a naturalistic scientific methodology, I conclude that it is very promising that Bayesianism and naturalism are compatible programs.

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Description Cited in Diss. Abstr. Int. A 63 (2003): 4344. UMI order no. 3074459.


Citation URI
https://data.isiscb.org/isis/citation/CBB001562246/

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Authors & Contributors
Clayton, Aubrey
Mayo, Lee Allen
Zabell, Sandy L.
Wynn, James
Weatherson, Brian
Twardy, Charles R.
Concepts
Probability and statistics
Methodology of science; scientific method
Bayes theorem
Philosophy of science
Mathematics
Experiments and experimentation
Time Periods
20th century
19th century
18th century
20th century, late
20th century, early
Modern
Places
France
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