cacophony
发表于 2025-3-27 00:45:14
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Coordinate
发表于 2025-3-27 04:54:50
Wavelet-based Diagnostics,In a real data analysis, an essential component is a thorough graphical study of the data. It is not uncommon for graphical data analysis to turn up some interesting (even vital!) aspect of the data set that might be completely overlooked by applying some canned “black box” statistical inference procedure.
scrutiny
发表于 2025-3-27 08:23:55
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笼子
发表于 2025-3-27 10:47:29
s Fourier decomposition, and the wavelet representation is presented first in terms of its simplest paradigm, the Haar basis. This piecewise constant Haar system is used to describe the concepts of the multiresolution analysis, and these ideas are generalized to other types of wavelet bases.
Talkative
发表于 2025-3-27 14:41:50
https://doi.org/10.1057/9781137529589the existing techniques in use. Though there are many methods currently in use for these applications, this chapter will focus on only two of them: kernel smoothing and orthogonal series estimation. This background should provide a useful lead-in to a discussion of wavelet methods for function estim
补充
发表于 2025-3-27 18:12:24
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受伤
发表于 2025-3-28 01:13:26
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跑过
发表于 2025-3-28 03:33:54
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皮萨
发表于 2025-3-28 08:04:05
Contemporary Issues in Sustainable Financeto extend the basic methods of Chapter 3 to more sophisticated techniques on a wide variety of applications. Perhaps the most common wavelet application in statistics is nonparametric regression, which is covered in some depth in Section 7.1. This will serve as a groundwork for other applications tr
tendinitis
发表于 2025-3-28 13:52:36
Contemporary Issues in Sustainable Financewhere Section 7.1 left off, focusing on the nonparametric regression situation. The ideas described here could also be adapted for use in density estimation or other types of function estimation. To focus attention on the methods described in this chapter, it will be assumed throughout that an ortho