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The Foundations Of Bayesian Epistemology
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Book Synopsis The Foundations of Bayesian Epistemology by : Kenny Easwaran
Download or read book The Foundations of Bayesian Epistemology written by Kenny Easwaran and published by Routledge. This book was released on 2017-09-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces students and researchers to the philosophical issues at play in the growing field of formal (or Bayesian) epistemology. It focuses not on how to do particular calculations but instead on the philosophical foundations at the convergence of belief and mathematical representation. Its central questions are: What is the nature of quantifying belief? What is the source of its norms? How is it reasonable to represent belief numerically? Accessible to those without any mathematical background, this book will become a much used classic in the field.
Book Synopsis Fundamentals of Bayesian Epistemology 1 by : Michael G. Titelbaum
Download or read book Fundamentals of Bayesian Epistemology 1 written by Michael G. Titelbaum and published by Oxford University Press. This book was released on 2022 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: '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.--
Book Synopsis Fundamentals of Bayesian Epistemology 2 by : Michael G. Titelbaum
Download or read book Fundamentals of Bayesian Epistemology 2 written by Michael G. Titelbaum and published by Oxford University Press. This book was released on 2022 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Fundamentals of Bayesian Epistemology' provides an accessible introduction to the key concepts and principles of the Bayesian formalism. Volume 2 introduces applications of Bayesianism to confirmation and decision theory, then gives a critical survey of arguments for and challenges to Bayesian epistemology.--
Book Synopsis Fundamentals of Bayesian Epistemology 2 by : Michael G. Titelbaum
Download or read book Fundamentals of Bayesian Epistemology 2 written by Michael G. Titelbaum and published by . This book was released on 2022 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Fundamentals of Bayesian Epistemology' provides an accessible introduction to the key concepts and principles of the Bayesian formalism. Volume 2 introduces applications of Bayesianism to confirmation and decision theory, then gives a critical survey of arguments for and challenges to Bayesian epistemology.
Book Synopsis The Probabilistic Foundations of Rational Learning by : Simon M. Huttegger
Download or read book The Probabilistic Foundations of Rational Learning written by Simon M. Huttegger and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book extends Bayesian epistemology to develop new approaches to general rational learning within the framework of probability theory
Book Synopsis Bayesian Epistemology by : Luc Bovens
Download or read book Bayesian Epistemology written by Luc Bovens and published by Oxford University Press on Demand. This book was released on 2003 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic models have much to offer to philosophy. We continually receive information from many sources - our senses, witnesses, scientific instruments - and assess whether to believe it. The authors provide a systematic Bayesian account of these features of reasoning.
Book Synopsis Fundamentals of Bayesian Epistemology by : Michael G. Titelbaum
Download or read book Fundamentals of Bayesian Epistemology written by Michael G. Titelbaum and published by . This book was released on 2022 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: '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.
Book Synopsis Bayesianism and Scientific Reasoning by : Jonah N. Schupbach
Download or read book Bayesianism and Scientific Reasoning written by Jonah N. Schupbach and published by Cambridge University Press. This book was released on 2022-01-31 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This Element explores the Bayesian approach to the logic and epistemology of scientific reasoning. Section 1 introduces the probability calculus as an appealing generalization of classical logic for uncertain reasoning. Section 2 explores some of the vast terrain of Bayesian epistemology. Three epistemological postulates suggested by Thomas Bayes in his seminal work guide the exploration. This section discusses modern developments and defenses of these postulates as well as some important criticisms and complications that lie in wait for the Bayesian epistemologist. Section 3 applies the formal tools and principles of the first two sections to a handful of topics in the epistemology of scientific reasoning: confirmation, explanatory reasoning, evidential diversity and robustness analysis, hypothesis competition, and Ockham's Razor.
Book Synopsis Fundamentals of Bayesian Epistemology 1 by : Michael G. Titelbaum
Download or read book Fundamentals of Bayesian Epistemology 1 written by Michael G. Titelbaum and published by Oxford University Press. This book was released on 2022-04-14 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Bayesian Epistemology by : Luc Bovens
Download or read book Bayesian Epistemology written by Luc Bovens and published by . This book was released on 2003 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Bayesian Epistemology written by and published by . This book was released on 2007 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Thinking About Statistics by : Jun Otsuka
Download or read book Thinking About Statistics written by Jun Otsuka and published by Taylor & Francis. This book was released on 2022-12-30 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simply stated, this book bridges the gap between statistics and philosophy. It does this by delineating the conceptual cores of various statistical methodologies (Bayesian/frequentist statistics, model selection, machine learning, causal inference, etc.) and drawing out their philosophical implications. Portraying statistical inference as an epistemic endeavor to justify hypotheses about a probabilistic model of a given empirical problem, the book explains the role of ontological, semantic, and epistemological assumptions that make such inductive inference possible. From this perspective, various statistical methodologies are characterized by their epistemological nature: Bayesian statistics by internalist epistemology, classical statistics by externalist epistemology, model selection by pragmatist epistemology, and deep learning by virtue epistemology. Another highlight of the book is its analysis of the ontological assumptions that underpin statistical reasoning, such as the uniformity of nature, natural kinds, real patterns, possible worlds, causal structures, etc. Moreover, recent developments in deep learning indicate that machines are carving out their own "ontology" (representations) from data, and better understanding this—a key objective of the book—is crucial for improving these machines’ performance and intelligibility. Key Features Without assuming any prior knowledge of statistics, discusses philosophical aspects of traditional as well as cutting-edge statistical methodologies. Draws parallels between various methods of statistics and philosophical epistemology, revealing previously ignored connections between the two disciplines. Written for students, researchers, and professionals in a wide range of fields, including philosophy, biology, medicine, statistics and other social sciences, and business. Originally published in Japanese with widespread success, has been translated into English by the author.
Book Synopsis Resonance: From Probability To Epistemology And Back by : Burdzy Krzysztof
Download or read book Resonance: From Probability To Epistemology And Back written by Burdzy Krzysztof and published by World Scientific. This book was released on 2016-05-26 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Resonance examines some building blocks of epistemology as a prelude to the careful analysis of the foundations of probability. The concept of resonance is introduced to shed light on the philosophical problems of induction, consciousness, intelligence and free will. The same concept is later applied to provide support for a new philosophical theory of probability.Although based on existing ideas and theories, the epistemological concept of resonance is investigated for the first time in this book. The best-known philosophical theories of probability, frequency and subjective, are shown to be unrealistic and dissociated from the two main branches of statistics: frequency statistics and Bayesian statistics.Written in an accessible style, this book can be enjoyed by philosophers, statisticians and mathematicians, and also by anyone looking to expand their understanding of the disciplines of epistemology and probability.
Book Synopsis Rethinking the Foundations of Statistics by : Joseph B. Kadane
Download or read book Rethinking the Foundations of Statistics written by Joseph B. Kadane and published by Cambridge University Press. This book was released on 1999-08-13 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the consequences of this turn for Bayesian statistics. The volume will be particularly valuable to philosophers concerned with decision theory, probability, and statistics, statisticians, mathematicians, and economists.
Book Synopsis Bayesian Philosophy of Science by : Jan Sprenger
Download or read book Bayesian Philosophy of Science written by Jan Sprenger and published by Oxford University Press. This book was released on 2019-08-23 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: How should we reason in science? Jan Sprenger and Stephan Hartmann offer a refreshing take on classical topics in philosophy of science, using a single key concept to explain and to elucidate manifold aspects of scientific reasoning. They present good arguments and good inferences as being characterized by their effect on our rational degrees of belief. Refuting the view that there is no place for subjective attitudes in 'objective science', Sprenger and Hartmann explain the value of convincing evidence in terms of a cycle of variations on the theme of representing rational degrees of belief by means of subjective probabilities (and changing them by Bayesian conditionalization). In doing so, they integrate Bayesian inference—the leading theory of rationality in social science—with the practice of 21st century science. Bayesian Philosophy of Science thereby shows how modeling such attitudes improves our understanding of causes, explanations, confirming evidence, and scientific models in general. It combines a scientifically minded and mathematically sophisticated approach with conceptual analysis and attention to methodological problems of modern science, especially in statistical inference, and is therefore a valuable resource for philosophers and scientific practitioners.
Book Synopsis In Defence of Objective Bayesianism by : Jon Williamson
Download or read book In Defence of Objective Bayesianism written by Jon Williamson and published by OUP Oxford. This book was released on 2010-05-13 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: How strongly should you believe the various propositions that you can express? That is the key question facing Bayesian epistemology. Subjective Bayesians hold that it is largely (though not entirely) up to the agent as to which degrees of belief to adopt. Objective Bayesians, on the other hand, maintain that appropriate degrees of belief are largely (though not entirely) determined by the agent's evidence. This book states and defends a version of objective Bayesian epistemology. According to this version, objective Bayesianism is characterized by three norms: · Probability - degrees of belief should be probabilities · Calibration - they should be calibrated with evidence · Equivocation - they should otherwise equivocate between basic outcomes Objective Bayesianism has been challenged on a number of different fronts. For example, some claim it is poorly motivated, or fails to handle qualitative evidence, or yields counter-intuitive degrees of belief after updating, or suffers from a failure to learn from experience. It has also been accused of being computationally intractable, susceptible to paradox, language dependent, and of not being objective enough. Especially suitable for graduates or researchers in philosophy of science, foundations of statistics and artificial intelligence, the book argues that these criticisms can be met and that objective Bayesianism is a promising theory with an exciting agenda for further research.
Book Synopsis The Evidential Foundations of Probabilistic Reasoning by : David A. Schum
Download or read book The Evidential Foundations of Probabilistic Reasoning written by David A. Schum and published by Northwestern University Press. This book was released on 2001 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work Schum develops a general theory of evidence as it is understood and applied across a broad range of disciplines and practical undertakings. He include insights from law, philosophy, logic, probability, semiotics, artificial intelligence, psychology and history.
