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.
@article{CML_2013__5_1_3_0, author = {Baraud, Yannick}, title = {Estimation of the density of a determinantal process}, journal = {Confluentes Mathematici}, volume = {5}, year = {2013}, pages = {3-21}, doi = {10.5802/cml.1}, mrnumber = {3143610}, language = {en}, url = {http://dml.mathdoc.fr/item/CML_2013__5_1_3_0} }
Baraud, Yannick. Estimation of the density of a determinantal process. Confluentes Mathematici, Tome 5 (2013) pp. 3-21. doi : 10.5802/cml.1. http://gdmltest.u-ga.fr/item/CML_2013__5_1_3_0/
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