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. 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.
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