A characterization of translation-invariant experiments admitting adaptive estimates
Georg Ch. Pflug and
Wilfried Grossmann
Journal of Multivariate Analysis, 1988, vol. 24, issue 2, 237-251
Abstract:
Statistical experiments possess the property of adaptivity, if the ignorance of a nuisance parameter does not cause any loss in efficiency. In order to include a large variety of cases, the efficiency is measured in terms of minimax bounds. It is shown that a necessary and sufficient condition for adaptivity of translation invariant experiments is that the parameter of interest and the nuisance parameter are a.s. independent w.r.t. the posterior distributions.
Keywords: adaptivity; minimax; bounds; Pitman; estimates; semi-parametric; models (search for similar items in EconPapers)
Date: 1988
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(88)90038-3
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:24:y:1988:i:2:p:237-251
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Journal of Multivariate Analysis is currently edited by de Leeuw, J.
More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().