John Earman is Professor of History and Philosophy of Science at the University of Pittsburgh. By focusing on the need for a resolution to this impasse, Earman sharpens the issues on which a resolution turns. He is perhaps best known for contributions to the history and foundations of modern physics especially space-time theories, and often with the question of determinism in view and confirmation. 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. EARMAN, JOHN(1942) John Earman is an American philosopher and professor of history and philosophy of science at the University of Pittsburgh. 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. By situating Hume's popular argument in the context of the 18th century debate on miracles, Earman shows Hume's argument to be largely unoriginal and chiefly without merit where it is original. Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. This vital study offers a new interpretation of Hume's famous 'Of Miracles,' which notoriously argues against the possibility of miracles. 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.
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