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Semiparametric Density Estimators Using Copulas.

Authors :
LIEBSCHER, ECKHARD
Source :
Communications in Statistics: Theory & Methods. Jan2005, Vol. 34 Issue 1, p59-71. 13p.
Publication Year :
2005

Abstract

In this article we establish semiparametric density estimators by employing the ideas of copulas and density weighting functions. Results on asymptotic normality and uniform strong consistency are derived. The formula for the asymptotic mean square error is used to get the optimal bandwidth. Moreover, applications to several families of copulas are discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03610926
Volume :
34
Issue :
1
Database :
Academic Search Index
Journal :
Communications in Statistics: Theory & Methods
Publication Type :
Academic Journal
Accession number :
16441702
Full Text :
https://doi.org/10.1081/STA-200045883