David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Journal for General Philosophy of Science 44 (1):193-200 (2013)
There are different Bayesian measures to calculate the degree of confirmation of a hypothesis H in respect of a particular piece of evidence E. Zalabardo (Analysis 69:630–635, 2009) is a recent attempt to defend the likelihood-ratio measure (LR) against the probability-ratio measure (PR). The main disagreement between LR and PR concerns their sensitivity to prior probabilities. Zalabardo invokes intuitive plausibility as the appropriate criterion for choosing between them. Furthermore, he claims that it favours the ordering of pairs evidence/hypothesis generated by LR. We will argue, however, that the intuitive non-numerical example provided by Zalabardo does not show that prior probabilities do not affect the degree of confirmation. On account of this, we conclude that there is no compelling reason to endorse LR qua measure of degree of confirmation. On the other side, we should not forget some technicalities which still benefit PR
|Keywords||Confirmation theory Confirmation measures Hypothesis testing Prior probabilities Bayesianism Likelihoodism|
|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
No citations found.
Similar books and articles
Branden Fitelson (1999). The Plurality of Bayesian Measures of Confirmation and the Problem of Measure Sensitivity. Philosophy of Science 66 (3):378.
Roberto Festa (2012). “For Unto Every One That Hath Shall Be Given”. Matthew Properties for Incremental Confirmation. Synthese 184 (1):89-100.
V. Crupi, N. Chater & K. Tentori (2013). New Axioms for Probability and Likelihood Ratio Measures. British Journal for the Philosophy of Science 64 (1):189-204.
Nevin Climenhaga (2013). A Problem for the Alternative Difference Measure of Confirmation. Philosophical Studies 164 (3):643-651.
Ellery Eells & Branden Fitelson (2000). Comments and Criticism: Measuring Confirmation and Evidence. Journal of Philosophy 97 (12):663-672.
Gregory Wheeler & Richard Scheines (2011). Causation, Association and Confirmation. In Stephan Hartmann, Marcel Weber, Wenceslao Gonzalez, Dennis Dieks & Thomas Uebe (eds.), Explanation, Prediction, and Confirmation: New Trends and Old Ones Reconsidered. Springer. 37--51.
Branden Fitelson (2001). Studies in Bayesian Confirmation Theory. Dissertation, University of Wisconsin, Madison
Franz Huber (2005). What Is the Point of Confirmation? Philosophy of Science 72 (5):1146-1159.
Gregory Wheeler (2009). Focused Correlation and Confirmation. British Journal for the Philosophy of Science 60 (1):79-100.
Luca Moretti (2007). Ways in Which Coherence is Confirmation Conducive. Synthese 157 (3):309 - 319.
Maximillian Schlosshauer & Gregory Wheeler (2011). Focused Correlation, Confirmation, and the Jigsaw Puzzle of Variable Evidence. Philosophy of Science 78 (3):376-92.
Aron Edidin (1988). From Relative Confirmation to Real Confirmation. Philosophy of Science 55 (2):265-271.
Gregory Wheeler & Richard Scheines (2013). Coherence and Confirmation Through Causation. Mind 122 (485):135-170.
Vincenzo Crupi, Katya Tentori & and Michel Gonzalez (2007). On Bayesian Measures of Evidential Support: Theoretical and Empirical Issues. Philosophy of Science 74 (2):229-252.
Added to index2012-09-20
Total downloads8 ( #173,514 of 1,103,219 )
Recent downloads (6 months)7 ( #36,861 of 1,103,219 )
How can I increase my downloads?