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Author: Michael G. Titelbaum Publisher: Oxford University Press ISBN: 0198707606 Category : Bayesian statistical decision theory Languages : en Pages : 217
Book Description
'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.--
Author: Michael G. Titelbaum Publisher: Oxford University Press ISBN: 0198707606 Category : Bayesian statistical decision theory Languages : en Pages : 217
Book Description
'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.--
Author: Luc Bovens Publisher: OUP Oxford ISBN: 0191533521 Category : Philosophy Languages : en Pages : 170
Book Description
Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we assess whether the sources are independent, how reliable they are, and how plausible and coherent the information is. Bovens and Hartmann provide a systematic Bayesian account of these features of reasoning. Simple Bayesian Networks allow us to model alternative assumptions about the nature of the information sources. Measurement of the coherence of information is a controversial matter: arguably, the more coherent a set of information is, the more confident we may be that its content is true, other things being equal. The authors offer a new treatment of coherence which respects this claim and shows its relevance to scientific theory choice. Bovens and Hartmann apply this methodology to a wide range of much discussed issues regarding evidence, testimony, scientific theories, and voting. Bayesian Epistemology is an essential tool for anyone working on probabilistic methods in philosophy, and has broad implications for many other disciplines.
Author: Michael G. Titelbaum Publisher: Oxford University Press ISBN: 0192863142 Category : Bayesian statistical decision theory Languages : en Pages : 416
Book Description
'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.--
Author: Jan Sprenger Publisher: Oxford University Press ISBN: 0191652229 Category : Philosophy Languages : en Pages : 384
Book Description
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.
Author: Lara Buchak Publisher: ISBN: 0199672164 Category : Business & Economics Languages : en Pages : 273
Book Description
Lara Buchak sets out a new account of rational decision-making in the face of risk. She argues that the orthodox view (expected utility theory) is too narrow, and suggests an alternative, more permissive theory: one that allows individuals to pay attention to the worst-case or best-case scenario, and vindicates the ordinary decision-maker.
Author: Franz Huber Publisher: Springer Science & Business Media ISBN: 1402091982 Category : Philosophy Languages : en Pages : 352
Book Description
This anthology is the first book to give a balanced overview of the competing theories of degrees of belief. It also explicitly relates these debates to more traditional concerns of the philosophy of language and mind and epistemic logic.
Author: Jean-Michel Marin Publisher: Springer Science & Business Media ISBN: 0387389792 Category : Computers Languages : en Pages : 265
Book Description
This Bayesian modeling book provides the perfect entry for gaining a practical understanding of Bayesian methodology. It focuses on standard statistical models and is backed up by discussed real datasets available from the book website.
Author: Una Stojnić Publisher: Oxford University Press, USA ISBN: 0198865465 Category : Philosophy Languages : en Pages : 230
Book Description
Natural languages are riddled with context-sensitivity, yet how do we understand one another so effortlessly? Contrary to the dominant position, this book argues that meaning is determined entirely by discourse conventions, as we draw on a broad array of subtle linguistic conventions that determine the interpretation of context-sensitive items.
Author: Michael G. Titelbaum
Author: Michael G. Titelbaum
Author: Luc Bovens
Author: Michael G. Titelbaum
Author: Michael G. Titelbaum
Author: Jan Sprenger
Author: Lara Buchak
Author: Franz Huber
Author: Jean-Michel Marin
Author: Una Stojnić
Author: Mark Kaplan