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University of Illinois at Urbana-Champaign
Asymptotic cumulative risk and Bayes risk under entropy loss, with applications
Abstract
dc:descriptionIn many areas of application of statistics one has a relevent parametric family of densities and wishes to estimate the density from a random sample. In such cases one can use the family to generate an estimator. We fix a prior and consider the properties of the predictive density as an estimator of the density.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Statistics
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Clarke, Bertrand Salem
- Contributors dc:contributor
-
- Barron, Andrew
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- Copyright 1989 Clarke, Bertrand Salem
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
AAI9010836
(UMI)AAI9010836 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/19361