'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

& 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.' - 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. Clark Glymour, Carnegie Mellon University '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. 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. By focusing on the need for a resolution to this impasse, Earman sharpens the issues on which a resolution turns.Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science.

Bayes or bust earman