# Pointwise Adaptive Estimation of the MarginalDensity of a Weakly Dependent Process

@article{Bertin2016PointwiseAE,
title={Pointwise Adaptive Estimation of the MarginalDensity of a Weakly Dependent Process},
author={Karine Bertin and N. Klutchnikoff},
journal={arXiv: Statistics Theory},
year={2016}
}
• Published 31 March 2016
• Mathematics
• arXiv: Statistics Theory
This paper is devoted to the estimation of the common marginal density function of weakly dependent processes. The accuracy of estimation is measured using pointwise risks. We propose a datadriven procedure using kernel rules. The bandwidth is selected using the approach of Goldenshluger and Lepski and we prove that the resulting estimator satisfies an oracle type inequality. The procedure is also proved to be adaptive (in a minimax framework) over a scale of H\"older balls for several types of… Expand
3 Citations

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