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.png

nuclear-tests 发表于 2025-3-29 01:08:22

http://reply.papertrans.cn/103/10213/1021295/1021295_43.png

heckle 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 Tsybakov

EXALT 发表于 2025-3-29 11:46:14

http://reply.papertrans.cn/103/10213/1021295/1021295_46.png

Vital-Signs 发表于 2025-3-29 18:32:05

Wolfgang Härdle,Gerard Kerkyacharian,Dominique Picard,Alexander Tsybakov

ostracize 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

http://reply.papertrans.cn/103/10213/1021295/1021295_50.png
页: 1 2 3 4 [5] 6 7
查看完整版本: Titlebook: Wavelets, Approximation, and Statistical Applications; Wolfgang Härdle,Gerard Kerkyacharian,Alexander Tsy Book 1998 Springer-Verlag New Yo