ATTENTION: The software behind KU ScholarWorks is being upgraded to a new version. Starting July 15th, users will not be able to log in to the system, add items, nor make any changes until the new version is in place at the end of July. Searching for articles and opening files will continue to work while the system is being updated.
If you have any questions, please contact Marianne Reed at mreed@ku.edu .
Statistical Decisions Using Likelihood Information Without Prior Probabilities
dc.contributor.author | Giang, Phan H. | |
dc.contributor.author | Shenoy, Prakash P. | |
dc.date.accessioned | 2004-12-15T19:22:50Z | |
dc.date.available | 2004-12-15T19:22:50Z | |
dc.date.issued | 2002-08 | |
dc.identifier.citation | Giang, P. H. and P. P. Shenoy (2002), "Statistical Decisions Using Likelihood Information Without Prior Probabilities," in A. Darwiche & N. Friedman (eds.), Uncertainty in Artificial Intelligence (UAI-02), pp. 170-178, Morgan Kaufmann, San Francisco, CA | |
dc.identifier.isbn | 1-55860-897-4 | |
dc.identifier.uri | http://hdl.handle.net/1808/157 | |
dc.description | This is a short 9-pp version of a longer working paper titled "Decision Making on the Sole Basis of Statistical Likelihood," School of Business Working Paper, Revised November 2004. | |
dc.description.abstract | This paper presents a decision-theoretic approach to statistical inference that satisfies the Likelihood Principle (LP) without using prior information. Unlike the Bayesian approach, which also satisfies LP, we do not assume knowledge of the prior distribution of the unknown parameter. With respect to information that can be obtained from an experiment, our solution is more efficient than Waldâ s minimax solution. However, with respect to information assumed to be known before the experiment, our solution demands less input than the Bayesian solution. | |
dc.format.extent | 305113 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | Morgan Kaufmann Publishers | |
dc.subject | Statistical inference | |
dc.subject | Utility theory | |
dc.subject | Possibility theory | |
dc.subject | Likelihood principle | |
dc.subject | Axioms | |
dc.subject | Decision theory | |
dc.title | Statistical Decisions Using Likelihood Information Without Prior Probabilities | |
dc.type | Book chapter | |
kusw.oastatus | na | |
dc.identifier.orcid | https://orcid.org/0000-0002-8425-896X | |
kusw.oapolicy | This item does not meet KU Open Access policy criteria. | |
dc.rights.accessrights | openAccess |