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.
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.
Michael G. Titelbaum is a Vilas Distinguished Achievement Professor in the Department of Philosophy at the University of Wisconsin-Madison. After majoring in philosophy at Harvard, he had a brief career as a high school teacher. He then earned a PhD in philosophy from the University of California, Berkeley, and completed a Visiting Research Fellowship at the Australian National University. He began at UW-Madison in 2009, and was Chair of the Department of Philosophy 2019-2022.
Inhaltsangabe
Quick Reference Preface I Our Subject 1: Beliefs and Degrees of Belief II The Bayesian Formalism 2: Probability Distributions 3: Conditional Credences 4: Updating by Conditionalization 5: Further Rational Constraints
Quick Reference Preface I Our Subject 1: Beliefs and Degrees of Belief II The Bayesian Formalism 2: Probability Distributions 3: Conditional Credences 4: Updating by Conditionalization 5: Further Rational Constraints
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