Title : WAVELET LINEAR DENSITY ESTIMATION FOR NEGATIVELY DEPENDENT RANDOM VARIABLES ( Nonparametric Estimation of the Derivative of Density by the Metod of Wavelets with Negatively Dependent Sequences )
Authors: Hassan Doosti ,
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Abstract
We propose a method of estimation of the derivatives of probability density based wavelets methods for a sequence of negatively dependent random variables with a common one-dimensional probability density function and obtain an upper bound on Lp-losses for the such estimators.
Keywords
, Negative dependence; Multiresolution analysis, Besov space, wavelets, nonparametric estimation of derivative of density.
@article{paperid:1004484,
author = {Doosti, Hassan},
title = {WAVELET LINEAR DENSITY ESTIMATION FOR NEGATIVELY DEPENDENT RANDOM VARIABLES},
journal = {Italian Journal of Pure and Applied Mathematics},
year = {2008},
number = {23},
month = {June},
issn = {1126-8042},
pages = {221--228},
numpages = {7},
keywords = {Negative dependence; Multiresolution analysis; Besov space; wavelets;
nonparametric estimation of derivative of density.},
}
%0 Journal Article
%T WAVELET LINEAR DENSITY ESTIMATION FOR NEGATIVELY DEPENDENT RANDOM VARIABLES
%A Doosti, Hassan
%J Italian Journal of Pure and Applied Mathematics
%@ 1126-8042
%D 2008
