Foundations of Bayesianism is an authoritative collection of papers addressing the key challenges that face the Bayesian interpretation of probability today.
Some of these papers seek to clarify the relationships between Bayesian, causal and logical reasoning. Others consider the application of Bayesianism to artificial intelligence, decision theory, statistics and the philosophy of science and mathematics. The volume includes important criticisms of Bayesian reasoning and also gives an insight into some of the points of disagreement amongst advocates of the Bayesian approach. The upshot is a plethora of new problems and directions for Bayesians to pursue.
The book will be of interest to graduate students or researchers who wish to learn more about Bayesianism than can be provided by introductory textbooks to the subject. Those involved with the applications of Bayesian reasoning will find essential discussion on the validity of Bayesianism and its limits, while philosophers and others interested in pure reasoning will find new ideas on normativity and the logic of belief.
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Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is an authoritative collection of papers addressing the key challenges that face the Bayesian interpretation of probability today. The volume includes important criticisms of Bayesian reasoning and gives an insight into some of the points of disagre. Bestandsnummer des Verkäufers 458472082
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Zustand: New. A collection of papers addressing the key challenges that face the Bayesian interpretation of probability. This work includes important criticisms of Bayesian reasoning and also gives an insight into some of the points of disagreement amongst advocates of the Bayesian approach. Editor(s): Corfield, David; Williamson, Jon. Series: Applied Logic Series. Num Pages: 416 pages, 6 black & white illustrations, biography. BIC Classification: PBT; PDA. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 23. Weight in Grams: 785. . 2001. Hardback. . . . . Bestandsnummer des Verkäufers V9781402002236
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Hardback. Zustand: New. 2002 ed. A collection of papers addressing the key challenges that face the Bayesian interpretation of probability today. Some of these papers seek to clarify the relationships between Bayesian, causal and logical reasoning. Others consider the application of Bayesianism to artificial intelligence, decision theory, statistics and the philosophy of science and mathematics. The volume includes important criticisms of Bayesian reasoning and also gives an insight into some of the points of disagreement amongst advocates of the Bayesian approach. The upshot is a plethora of new problems and directions for Bayesians to pursue. The book should be of interest to graduate students or researchers who wish to learn more about Bayesianism than can be provided by introductory textbooks to the subject. Those involved with the applications of Bayesian reasoning will find useful discussion on the validity of Bayesianism and its limits, while philosophers and others interested in pure reasoning should find ideas on normativity and the logic of belief. Bestandsnummer des Verkäufers LU-9781402002236
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Zustand: New. A collection of papers addressing the key challenges that face the Bayesian interpretation of probability. This work includes important criticisms of Bayesian reasoning and also gives an insight into some of the points of disagreement amongst advocates of the Bayesian approach. Editor(s): Corfield, David; Williamson, Jon. Series: Applied Logic Series. Num Pages: 416 pages, 6 black & white illustrations, biography. BIC Classification: PBT; PDA. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 23. Weight in Grams: 785. . 2001. Hardback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9781402002236
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Hardback. Zustand: New. 2002 ed. A collection of papers addressing the key challenges that face the Bayesian interpretation of probability today. Some of these papers seek to clarify the relationships between Bayesian, causal and logical reasoning. Others consider the application of Bayesianism to artificial intelligence, decision theory, statistics and the philosophy of science and mathematics. The volume includes important criticisms of Bayesian reasoning and also gives an insight into some of the points of disagreement amongst advocates of the Bayesian approach. The upshot is a plethora of new problems and directions for Bayesians to pursue. The book should be of interest to graduate students or researchers who wish to learn more about Bayesianism than can be provided by introductory textbooks to the subject. Those involved with the applications of Bayesian reasoning will find useful discussion on the validity of Bayesianism and its limits, while philosophers and others interested in pure reasoning should find ideas on normativity and the logic of belief. Bestandsnummer des Verkäufers LU-9781402002236
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