Authors

• Yogendra P. Chaubey
• Hassan Doosti

Abstract

Here, we propose a method of estimation of the derivatives
of probability density based wavelets methods for a sequence
of m−dependent random variables with a common one-dimensional
probability density function and obtain an upper bound on Lp-losses
for the such estimators.

Keywords

• Besov space
• m-Dependence
• Multiresolution analysis
• nonparametric estimation of derivative of a density
• wavelets