Pitman closeness properties of Bayes shrinkage procedures in estimation and prediction
Takeru Matsuda and
William E. Strawderman
Statistics & Probability Letters, 2016, vol. 119, issue C, 21-29
Abstract:
Pitman closeness for Bayes shrinkage procedures in normal models are investigated. In point estimation, priors in the Strawderman class dominate the uniform prior. In predictive density estimation, spherically symmetric superharmonic priors dominate the uniform prior under log loss.
Keywords: Pitman closeness; Predictive density; Point estimation; Bayes; Superharmonic prior; Stein prior (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715216301213
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:stapro:v:119:y:2016:i:c:p:21-29
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
DOI: 10.1016/j.spl.2016.07.005
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().