Bayes 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. "About this title" may belong to another edition of this title.Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. (Paul Teller, Department of Philosophy, University of California, Davis)
(Philip Kitcher, Professor of Philosophy, University of California, San Diego)Īre you interested in learning far more about both the strengths and weaknesses of Bayesianism than you ever imagined was developed in one place? Then take a look at this book. It is a brilliant book that should be read by anyone interested in scientific inference. (Richard Jeffrey, Professor, Princeton University)īayes or Bust? offers what those who know John Earman's work expect from him: deep and original insights conveyed with lucidity and grace. It is an important addition to the ongoing controversy about Bayesianism. John Earman's Bayes or Bust? is a witty, terse, wide-ranging, novel survey of pros and cons, beginning with a historical chapter on Bayes's original paper and ending with an up-to-the-minute chapter in which Bayesianism meets formal learning theory. (Clark Glymour, Carnegie Mellon University) It brings together technical results with great accuracy and appropriateness and will undoubtedly become a standard work among philosophers of science. John Earman's Bayes or Bust? is a fine analysis of many issues facing modern theoretical statistics and the enterprise of confirmation theory. (Allan Franklin, Professor, University of Colorado) This is a book well worth reading for anyone seriously interested in the philosophy of science. John Earman is one of the most thoughtful commentators on Bayesianism. "synopsis" may belong to another edition of this title.
By focusing on the need for a resolution to this impasse, Earman sharpens the issues on which a resolution turns. 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. 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. 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.
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