Estimation of the density of a determinantal process
Confluentes Mathematici, Tome 5 (2013) no. 1, pp. 3-23
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We consider the problem of estimating the density of a determinantal process from the observation of independent copies of it. We use an aggregation procedure based on robust testing to build our estimator. We establish non-asymptotic risk bounds with respect to the Hellinger loss and deduce, when goes to infinity, uniform rates of convergence over classes of densities of interest.
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DOI :
10.5802/cml.1
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Accepté après révision le :
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Classification :
62G07, 62M30
Keywords: Determinantal process - Density estimation- Oracle inequality - Hellinger distance
Keywords: Determinantal process - Density estimation- Oracle inequality - Hellinger distance
Affiliations des auteurs :
Baraud, Yannick 1
@article{CML_2013__5_1_3_0,
author = {Baraud, Yannick},
title = {Estimation of the density of a determinantal process},
journal = {Confluentes Mathematici},
pages = {3--23},
year = {2013},
publisher = {Institut Camille Jordan},
volume = {5},
number = {1},
doi = {10.5802/cml.1},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.5802/cml.1/}
}
Baraud, Yannick. Estimation of the density of a determinantal process. Confluentes Mathematici, Tome 5 (2013) no. 1, pp. 3-23. doi: 10.5802/cml.1
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