Evidence with uncertain likelihoods
Synthese 171 (1) (2009)
| Abstract | 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 | No keywords specified (fix it) | |||||||||
| Categories | ||||||||||
| Options |
|
|||||||||
Download options| PhilPapers Archive |
Upload a copy of this paper Check publisher's policy on self-archival Papers currently archived: 5,672 |
| External links |
 |
| Through your library | Configure |
Similar books and articlesPeter 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 (S1):S165-.
Vincenzo Crupi, Roberto Festa & and Tommaso Mastropasqua (2008). Bayesian Confirmation by Uncertain Evidence: A Reply to Huber [2005]. 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.
Malcolm R. Forster (2006). Counterexamples to a Likelihood Theory of Evidence. Minds and Machines 16 (3).
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.
James Hawthorne (2011). Confirmation Theory. In Prasanta S. Bandyopadhyay & Malcolm Forster (eds.), Philosophy of Statistics, Handbook of the Philosophy of Science, Volume 7. Elsevier.
Analytics
Monthly downloads |
Added to index2009-01-28Total downloads4 ( #178,586 of 549,069 )Recent downloads (6 months)1 ( #63,185 of 549,069 )How can I increase my downloads? |
My notes
Discussion
