Bayess Theorem by Richard Swinburne

Bayess Theorem

EditorRichard Swinburne

Paperback | December 16, 2005

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Bayes's theorem is a tool for assessing how probable evidence makes some hypothesis. The papers in this volume consider the worth and applicability of the theorem. Richard Swinburne sets out the philosophical issues. Elliott Sober argues that there are other criteria for assessing hypotheses.Colin Howson, Philip Dawid and John Earman consider how the theorem can be used in statistical science, in weighing evidence in criminal trials, and in assessing evidence for the occurrence of miracles. David Miller argues for the worth of the probability calculus as a tool for measuringpropensities in nature rather than the strength of evidence. The volume ends with the original paper containing the theorem, presented to the Royal Society in 1763.

About The Author

Richard Swinburne is at Emeritus Nolloth Professor of the Philosophy of the Christian Religion, Oxford; Fellow of the British Academy.
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Details & Specs

Title:Bayess TheoremFormat:PaperbackDimensions:160 pages, 9.21 × 6.14 × 0.44 inPublished:December 16, 2005Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0197263410

ISBN - 13:9780197263419

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Table of Contents

Richard Swinburne: IntroductionElliott Sober: Bayesianism - its scopes and limitsColin Howson: Bayesianism in StatisticsA P Dawid: Bayes's Theorem and Weighing Evidence by JuriesJohn Earman: Bayes, Hume, Price, and MiraclesDavid Miller: Propensities May Satisfy Bayes's Theorem'An Essay Towards Solving a Problem in the Doctrine of Chances' by Thomas Bayes, presented to the Royal Society by Richard Price. Preceded by a historical introduction by G A Barnard.

Editorial Reviews

`Review from previous edition This is a high quality, concise collection of articles on the foundations of probability and statistics. ... The volume closes with an Appendix containing a very polished reproduction of Bayes's classic 'An Essay Towards the Solving a Problem in the Doctrine ofChances'. The Essay still reads very well, and it should be on every probabilist's 'must read' list. I feel quite comfortable saying something almost as glowing about this entire volume. I found this book very edifying and clear, and the debates and issues it encompasses are of great importance forcontemporary philosophy of probability, statistics, and decision-making. I highly recommend this book to anyone with interests in these areas, and I commend Swinburne for putting together this neat little book.'Notre Dame Philosophical Review