Optimal kernel selection for density estimation
Lerasle, M · Magalhães, N · Reynaud-Bouret, P
Original · EN
We provide new general kernel selection rules thanks to penalized least-squares criteria. We derive optimal oracle inequalities using adequate concentration tools. We also investigate the problem of minimal penalty as described in [BM07].
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