Items related to Fundamentals of Bayesian Epistemology 1: Introducing...
- PublisherOxford University Press
- Publication date2022
- ISBN 10 0198707614
- ISBN 13 9780198707615
- BindingPaperback
- LanguageEnglish
- Number of pages218
- Rating
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Fundamentals of Bayesian Epist
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Fundamentals Of Bayesian Epistemology 1: Introducing Credences
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Fundamentals of Bayesian Epistemology 1: Introducing Credences
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Fundamentals of Bayesian Epistemology 1: Introducing Credences
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Oxford University Press OUP, 2022
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Fundamentals of Bayesian Epistemology 1: Introducing Credences (Paperback or Softback)
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FUNDAMENTALS OF BAYESIAN EPISTEMOLOGY 1
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Fundamentals Of Bayesian Epistemology 1: Introducing Credences
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Oxford University Press, 2022
ISBN 10: 0198707614
ISBN 13: 9780198707615
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Fundamentals of Bayesian Epistemology 1 (Paperback)
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Oxford University Press, Oxford, 2022
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ISBN 13: 9780198707615
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Paperback. Condition: new. Paperback. 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 followepistemological debates and to see broader implicationsVolume 1 begins by motivating the use of degrees of belief in epistemology. It then introduces, explains, and applies the five core Bayesiannormative 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 bydetailing 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, andaccuracy measures. Finally, it takes on objections to the Bayesian approach and alternative formalisms, including the statistical approaches of frequentism and likelihoodism. Fundamentals of Bayesian Epistemology provides an accessible introduction to the key concepts and principles of the Bayesian formalism. This volume introduces degrees of belief as a concept in epistemology and the rules for updating degrees of belief derived from Bayesian principles. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780198707615
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Fundamentals of Bayesian Epistemology 1
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