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Zobecnění Devrouye-Lugosiho teorému
 Berlinet, A. ; Vajda, Igor
Estimation of distributions of stochastic models is studied and adaptive selection of a better of two estimates is considered. Devroye and Lugosi's recent book on this topic established a theorem on the total variation error of a selection rule proposed by them. We extended this theorem to arbitrary metric divergence errors, and also to more general alternative selection rules.
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