报复 发表于 2025-3-28 17:23:14
Statistical estimation using wavelets,proximation is both in frequency and space. In this chapter we consider the problem of nonparametric statistical estimation of a function . in .(.) by wavelet methods. We study the density estimation and nonparametric regression settings. We also present empirical results of wavelet smoothing.BYRE 发表于 2025-3-28 22:11:03
http://reply.papertrans.cn/103/10213/1021295/1021295_42.pngnuclear-tests 发表于 2025-3-29 01:08:22
http://reply.papertrans.cn/103/10213/1021295/1021295_43.pngheckle 发表于 2025-3-29 06:39:04
Wavelet thresholding and adaptation, thresholding for density estimation problems. Finally, we consider the data-driven methods of selecting the wavelet basis, the threshold value and the initial resolution level, based on Stein’s principle. We finish by a discussion of oracle inequalities and miscellaneous related topics.Projection 发表于 2025-3-29 08:13:29
Wolfgang Härdle,Gerard Kerkyacharian,Dominique Picard,Alexander TsybakovEXALT 发表于 2025-3-29 11:46:14
http://reply.papertrans.cn/103/10213/1021295/1021295_46.pngVital-Signs 发表于 2025-3-29 18:32:05
Wolfgang Härdle,Gerard Kerkyacharian,Dominique Picard,Alexander Tsybakovostracize 发表于 2025-3-29 21:09:13
Wolfgang Härdle,Gerard Kerkyacharian,Dominique Picard,Alexander Tsybakov天赋 发表于 2025-3-30 02:46:08
http://reply.papertrans.cn/103/10213/1021295/1021295_49.png粗野 发表于 2025-3-30 05:35:27
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