Deconvolution Estimation of the Density for Mixed Measure

DOI

10.2991/msam-15.2015.38How to use a DOI?

Keywords

component; density probability; kernel estimate; deconvolution

Abstract

Consider a random variable whose measure probability is the sum of an absolutely continuous part with respect to the Lebesgue measure and a discrete measure. In this work is provided a deconvolution estimator density of the continuous part and also the estimated amplitudes of discrete part when the observations ara taken with a noise error.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Filali Mostafa
AU  - Sabre Rachid
PY  - 2015/08
DA  - 2015/08
TI  - Deconvolution Estimation of the Density for Mixed Measure
BT  - Proceedings of the 2015 International Conference on Modeling, Simulation and Applied Mathematics
PB  - Atlantis Press
SP  - 168
EP  - 173
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-15.2015.38
DO  - 10.2991/msam-15.2015.38
ID  - Mostafa2015/08
ER  -