Wavelet Based Estimation of the Derivatives of a Density for m-Dependent Random Variables

نویسندگان
Chaubey, Yogendra P. ID 1
Doosti, Hassan ID 2

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چکیده

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.

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