David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
MIT Press (1992)
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. John Earman is Professor of History and Philosophy of Science at the University of Pittsburgh.
|Keywords||Bayes, Thomas Bayesian statistical decision theory Science Inference|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
John Earman (1993). Underdetermination, Realism, and Reason. Midwest Studies in Philosophy 18 (1):19-38.
Dean Peters (2014). What Elements of Successful Scientific Theories Are the Correct Targets for “Selective” Scientific Realism? Philosophy of Science 81 (3):377-397.
Elliott Sober (2009). Absence of Evidence and Evidence of Absence: Evidential Transitivity in Connection with Fossils, Fishing, Fine-Tuning, and Firing Squads. [REVIEW] Philosophical Studies 143 (1):63 - 90.
Michael G. Titelbaum (2010). Not Enough There There: Evidence, Reasons, and Language Independence. Philosophical Perspectives 24 (1):477-528.
Jacob Stegenga (2013). An Impossibility Theorem for Amalgamating Evidence. Synthese 190 (12):2391-2411.
Similar books and articles
John Worrall (1994). Book Review:Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory John Earman. [REVIEW] Philosophy of Science 61 (4):672-.
David Christensen (1994). John Earman's 'Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory' (Book Review). Philosophical Review 103:345-347.
H. I. Brown (1994). Book Reviews : John Earman, Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory. MIT Press, Cambridge, MA, 1992. Pp. Xvi, 272. $35.00 (Cloth. [REVIEW] Philosophy of the Social Sciences 24 (3):383-385.
Malcolm R. Forster (1995). Bayes and Bust: Simplicity as a Problem for a Probabilist's Approach to Confirmation. [REVIEW] British Journal for the Philosophy of Science 46 (3):399-424.
John Earman (1992). Bayes or Bust? Bradford.
Neil Tennant (2006). A Note on the Irrelevance of Probabilistic Irrelevance. Analysis 66 (289):32–35.
Geoffrey Hellman (1997). Bayes and Beyond. Philosophy of Science 64 (2):191-221.
Lefteris Farmakis (2008). Did Tom Kuhn Actually Meet Tom Bayes? Erkenntnis 68 (1):41 - 53.
Franz Huber, Confirmation and Induction. Internet Encyclopedia of Philosophy.
Branden Fitelson (1999). The Plurality of Bayesian Measures of Confirmation and the Problem of Measure Sensitivity. Philosophy of Science 66 (3):378.
Franz Huber (2005). What Is the Point of Confirmation? Philosophy of Science 72 (5):1146-1159.
John Norton (2011). Challenges to Bayesian Confirmation Theory. In Prasanta S. Bandyopadhyay & Malcolm R. Forster (eds.), Handbook of the Philosophy of Science, Vol. 7: Philosophy of Statistics. Elsevier B.V. 391-440.
I. J. Good (1975). Comments on Ronald Giere. Synthese 30 (1-2):133 -.
Added to index2012-06-19
Total downloads23 ( #164,172 of 1,796,170 )
Recent downloads (6 months)4 ( #209,906 of 1,796,170 )
How can I increase my downloads?