David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Synthese 171 (1):111 - 133 (2009)
An agent often has a number of hypotheses, and must choose among them based on observations, or outcomes of experiments. Each of these observations can be viewed as providing evidence for or against various hypotheses. All the attempts to formalize this intuition up to now have assumed that associated with each hypothesis h there is a likelihood function μ h , which is a probability measure that intuitively describes how likely each observation is, conditional on h being the correct hypothesis. We consider an extension of this framework where there is uncertainty as to which of a number of likelihood functions is appropriate, and discuss how one formal approach to defining evidence, which views evidence as a function from priors to posteriors, can be generalized to accommodate this uncertainty.
|Keywords||Confirmation theory Weight of evidence Likelihood Uncertainty|
|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
Henry Kyburg (1983). Recent Work in Inductive Logic. In Kenneth G. Lucey & Tibor R. Machan (eds.), Recent Work in Philosophy. Rowman & Allanheld. 87--150.
Glenn Shafer (1976). A Mathematical Theory of Evidence. Princeton University Press.
Citations of this work BETA
No citations found.
Similar books and articles
Peter Achinstein (1994). Stronger Evidence. Philosophy of Science 61 (3):329-350.
Carl G. Wagner (2001). Old Evidence and New Explanation III. Philosophy of Science 68 (3):S165 - S175.
Vincenzo Crupi, Roberto Festa & and Tommaso Mastropasqua (2008). Bayesian Confirmation by Uncertain Evidence: A Reply to Huber . British Journal for the Philosophy of Science 59 (2):201-211.
Ellery Eells & Branden Fitelson (2000). Comments and Criticism: Measuring Confirmation and Evidence. Journal of Philosophy 97 (12):663-672.
Patrick Forber (2012). Modeling Scientific Evidence: The Challenge of Specifying Likelihoods. In. In Henk W. de Regt (ed.), Epsa Philosophy of Science: Amsterdam 2009. Springer. 55--65.
Malcolm R. Forster (2006). Counterexamples to a Likelihood Theory of Evidence. Minds and Machines 16 (3):319-338.
Barry Loewer, Robert Laddaga & Roger Rosenkrantz (1978). On The Likelihood Principle and a Supposed Antinomy. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1978:279 - 286.
Benjamin C. Jantzen (forthcoming). Piecewise Versus Total Support: How to Deal with Background Information in Likelihood Arguments. .
James Hawthorne (2011). Confirmation Theory. In Prasanta S. Bandyopadhyay & Malcolm Forster (eds.), Philosophy of Statistics, Handbook of the Philosophy of Science, Volume 7. Elsevier.
Added to index2009-01-28
Total downloads5 ( #220,234 of 1,096,895 )
Recent downloads (6 months)1 ( #273,368 of 1,096,895 )
How can I increase my downloads?