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OverviewBayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. There is currently no viable alternative to the Bayesian analysis of scientific inference, yet the available versions of Bayesianism fail to do justice to several aspects of the testing and confirmation of scientific hypotheses. Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. Both Bayesians and anti-Bayesians will find a wealth of new insights on topics ranging from Bayes's original paper to contemporary formal learning theory. In a paper published posthumously in 1763, the Reverend Thomas Bayes made a seminal contribution to the understanding of ""analogical or inductive reasoning."" Building on his insights, modem Bayesians have developed an account of scientific inference that has attracted numerous champions as well as numerous detractors. Earman argues that Bayesianism provides the best hope for a comprehensive and unified account of scientific inference, yet the presently available versions of Bayesianisin fail to do justice to several aspects of the testing and confirming of scientific theories and hypotheses. By focusing on the need for a resolution to this impasse, Earman sharpens the issues on which a resolution turns. Full Product DetailsAuthor: John EarmanPublisher: MIT Press Ltd Imprint: Bradford Books Dimensions: Width: 15.20cm , Height: 2.00cm , Length: 22.90cm Weight: 0.408kg ISBN: 9780262519007ISBN 10: 0262519003 Pages: 292 Publication Date: 28 May 1992 Recommended Age: From 18 years Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsJohn Earman's Bayes or Bust? is a fine analysis of many issues facing modern theoretical statistics and the enterprise of confirmation theory. It brings together technical results with great accuracy and appropriateness and will undoubtedly become a standard work among philosophers of science. --Clark Glymour, Carnegie Mellon University -- Clark Glymour, Carnegie Mellon University John Earman's Bayes or Bust? is a fine analysis of many issues facing modern theoretical statistics and the enterprise of confirmation theory. It brings together technical results with great accuracy and appropriateness and will undoubtedly become a standard work among philosophers of science. -- Clark Glymour, Carnegie Mellon University & quot; John Earman's Bayes or Bust? is a fine analysis of many issues facing modern theoretical statistics and the enterprise of confirmation theory. It brings together technical results with great accuracy and appropriateness and will undoubtedly become a standard work among philosophers of science.& quot; -- Clark Glymour, Carnegie Mellon University John Earman's Bayes or Bust? is a fine analysis of many issues facing modern theoretical statistics and the enterprise of confirmation theory. It brings together technical results with great accuracy and appropriateness and will undoubtedly become a standard work among philosophers of science. --Clark Glymour, Carnegie Mellon University """John Earman's ""Bayes or Bust?"" is a fine analysis of many issues facing modern theoretical statistics and the enterprise of confirmation theory. It brings together technical results with great accuracy and appropriateness and will undoubtedly become a standard work among philosophers of science."" --Clark Glymour, Carnegie Mellon University & quot; John Earman's Bayes or Bust? is a fine analysis of many issues facing modern theoretical statistics and the enterprise of confirmation theory. It brings together technical results with great accuracy and appropriateness and will undoubtedly become a standard work among philosophers of science.& quot; -- Clark Glymour, Carnegie Mellon University "" John Earman's ""Bayes or Bust?"" is a fine analysis of many issues facing modern theoretical statistics and the enterprise of confirmation theory. It brings together technical results with great accuracy and appropriateness and will undoubtedly become a standard work among philosophers of science."" -- Clark Glymour, Carnegie Mellon University -- Clark Glymour, Carnegie Mellon University" Author InformationJohn Earman is Professor of History and Philosophy of Science at the University of Pittsburgh. Tab Content 6Author Website:Countries AvailableAll regions |