Fundamentals of Bayesian Epistemology 2: Arguments, Challenges, Alternatives by Titelbaum, Michael G.
Fundamentals of Bayesian Epistemology 2: Arguments, Challenges, Alternatives by Titelbaum, Michael G.

Fundamentals of Bayesian Epistemology 2: Arguments, Challenges, Alternatives

Bayesian ideas have recently been applied across such diverse fields as philosophy, statistics, economics, psychology, artificial intelligence,...
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SKU: 9780192863157
Product Type: Books
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Author: Michael G. Titelbaum
Format: Paperback
Language: English
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Fundamentals of Bayesian Epistemology 2: Arguments, Challenges, Alternatives by Titelbaum, Michael G.

Fundamentals of Bayesian Epistemology 2: Arguments, Challenges, Alternatives

BD$82.87
Fundamentals of Bayesian Epistemology 2: Arguments, Challenges, Alternatives by Titelbaum, Michael G.

Fundamentals of Bayesian Epistemology 2: Arguments, Challenges, Alternatives

BD$82.87
Author: Michael G. Titelbaum
Format: Paperback
Language: English
Description
Bayesian ideas have recently been applied across such diverse fields as philosophy, statistics, economics, psychology, artificial intelligence, and legal theory. Fundamentals of Bayesian Epistemology examines epistemologists' use of Bayesian probability mathematics to represent degrees of belief. Michael G. Titelbaum provides an accessible introduction to the key concepts and principles of the Bayesian formalism, enabling the reader both to follow epistemological debates and to see broader implications

Volume 1 begins by motivating the use of degrees of belief in epistemology. It then introduces, explains, and applies the five core Bayesian normative rules: Kolmogorov's three probability axioms, the Ratio Formula for conditional degrees of belief, and Conditionalization for updating attitudes over time. Finally, it discusses further normative rules (such as the Principal Principle, or indifference principles) that have been proposed to supplement or replace the core five.

Volume 2 gives arguments for the five core rules introduced in Volume 1, then considers challenges to Bayesian epistemology. It begins by detailing Bayesianism's successful applications to confirmation and decision theory. Then it describes three types of arguments for Bayesian rules, based on representation theorems, Dutch Books, and accuracy measures. Finally, it takes on objections to the Bayesian approach and alternative formalisms, including the statistical approaches of frequentism and likelihoodism.


Author: Michael G. Titelbaum
Publisher: Oxford University Press, USA
Published: 10/03/2022
Pages: 416
Binding Type: Paperback
Weight: 1.44lbs
Size: 9.36h x 6.18w x 0.86d
ISBN: 9780192863157
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