EconPapers    
Economics at your fingertips  
 

Improved methods for bandwidth selection when estimating ROC curves

Peter G. Hall and Rob Hyndman

Statistics & Probability Letters, 2003, vol. 64, issue 2, 181-189

Abstract: The receiver operating characteristic (ROC) curve is used to describe the performance of a diagnostic test which classifies observations into two groups. We introduce new methods for selecting bandwidths when computing kernel estimates of ROC curves. Our techniques allow for interaction between the distributions of each group of observations and give substantial improvement in MISE over other proposed methods, especially when the two distributions are very different.

Keywords: Bandwidth; selection; Binary; classification; Kernel; estimator; MISE; ROC; curve (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(03)00150-0
Full text for ScienceDirect subscribers only

Related works:
Working Paper: An Improved Method for Bandwidth Selection when Estimating ROC Curves (2002) Downloads
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:64:y:2003:i:2:p:181-189

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

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 ().

 
Page updated 2025-04-07
Handle: RePEc:eee:stapro:v:64:y:2003:i:2:p:181-189