Titlebook: Combinatorial Methods in Density Estimation; Luc Devroye,Gábor Lugosi Book 2001 Springer-Verlag New York, Inc. 2001 Density Estimation.Lik

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書(shū)目名稱Combinatorial Methods in Density Estimation影響因子(影響力)




書(shū)目名稱Combinatorial Methods in Density Estimation影響因子(影響力)學(xué)科排名




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書(shū)目名稱Combinatorial Methods in Density Estimation被引頻次




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書(shū)目名稱Combinatorial Methods in Density Estimation讀者反饋學(xué)科排名

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Bandwidth Choice with Superkernels,l—all densities in them must be infinitely many times continuously differentiate—this is an almost pointless exercise. Instead, we consider the ultimate kernels, those for which Φ(.) = .(1/√.). Clearly, .(1/√.) is the best possible rate, as Lemma 1 shows.

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H. Bauer,Ch. Korunka,M. Leodolterese densities cover ., that is, if these chosen densities are .. = {.1,…,..}, then . where .. = {. : ∫ |. ? .| ≤ .}. The smallest such .. is called the . (or .) of . (and thus is a function of .), and log... is the . of .. .. is called a . of ..

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finale

Skeleton Estimates,ese densities cover ., that is, if these chosen densities are .. = {.1,…,..}, then . where .. = {. : ∫ |. ? .| ≤ .}. The smallest such .. is called the . (or .) of . (and thus is a function of .), and log... is the . of .. .. is called a . of ..

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Book 2001of the selection of the bin widths. This text explores a new paradigm for the data-based or automatic selection of the free parameters of density estimates in general so that the expected error is within a given constant multiple of the best possible error. The paradigm can be used in nearly all den