Title
A New Approach To Empirical Bayes Estimation With Errors In Variables
Keywords
convergence rate; empirical Bayes; error-in-variables Supported in part by National Science Foundation (NSF); exponential families; grant DMS-0004173
Abstract
Following Zhang and Karunamuni (1997), we consider empirical Bayes model with errors in variables. We propose estimation procedure which is conducted under less restrictive conditions than that of Zhang and Karunamuni (1997) but delivers estimators with better convergence rates. © 2002, Oldenbourg Wissenschaftsverlag GmbH, Rosenheimer Str. 145, 81671 München. All rights reserved.
Publication Date
1-1-2002
Publication Title
Statistics and Risk Modeling
Volume
20
Issue
1-4
Number of Pages
225-240
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1524/strm.2002.20.14.225
Copyright Status
Unknown
Socpus ID
70350261255 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/70350261255
STARS Citation
Pensky, Marianna, "A New Approach To Empirical Bayes Estimation With Errors In Variables" (2002). Scopus Export 2000s. 2719.
https://stars.library.ucf.edu/scopus2000/2719