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Titlebook: Wavelets and Statistics; Anestis Antoniadis,Georges Oppenheim Book 1995 Springer-Verlag New York 1995 Gaussian process.Hypothese.Markov ra

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发表于 2025-3-21 19:45:30 | 显示全部楼层 |阅读模式
书目名称Wavelets and Statistics
编辑Anestis Antoniadis,Georges Oppenheim
视频video
丛书名称Lecture Notes in Statistics
图书封面Titlebook: Wavelets and Statistics;  Anestis Antoniadis,Georges Oppenheim Book 1995 Springer-Verlag New York 1995 Gaussian process.Hypothese.Markov ra
描述Despite its short history, wavelet theory has found applications in a remarkable diversity of disciplines: mathematics, physics, numerical analysis, signal processing, probability theory and statistics. The abundance of intriguing and useful features enjoyed by wavelet and wavelet packed transforms has led to their application to a wide range of statistical and signal processing problems. On November 16-18, 1994, a conference on Wavelets and Statistics was held at Villard de Lans, France, organized by the Institute IMAG-LMC, Grenoble, France. The meeting was the 15th in the series of the Rencontres Pranco-Belges des 8tatisticiens and was attended by 74 mathematicians from 12 different countries. Following tradition, both theoretical statistical results and practical contributions of this active field of statistical research were presented. The editors and the local organizers hope that this volume reflects the broad spectrum of the conference. as it includes 21 articles contributed by specialists in various areas in this field. The material compiled is fairly wide in scope and ranges from the development of new tools for non parametric curve estimation to applied problems, such as
出版日期Book 1995
关键词Gaussian process; Hypothese; Markov random field; Rang; Variance; Variation; statistics; stochastic process
版次1
doihttps://doi.org/10.1007/978-1-4612-2544-7
isbn_softcover978-0-387-94564-4
isbn_ebook978-1-4612-2544-7Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York 1995
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Thresholding of Wavelet Coefficients as Multiple Hypotheses Testing Procedure,t coefficients among those chosen for the wavelet reconstruction. The resulting procedure is inherently adaptive, and responds to the complexity of the estimated function. Finally, comparing the proposed FDR-threshold with that fixed global of Donoho and Johnstone by evaluating the relative Mean-Squ
发表于 2025-3-22 08:25:19 | 显示全部楼层
Thresholding of Wavelet Coefficients as Multiple Hypotheses Testing Procedure,t coefficients among those chosen for the wavelet reconstruction. The resulting procedure is inherently adaptive, and responds to the complexity of the estimated function. Finally, comparing the proposed FDR-threshold with that fixed global of Donoho and Johnstone by evaluating the relative Mean-Squ
发表于 2025-3-22 10:54:29 | 显示全部楼层
Translation-Invariant De-Noising,-noising using the undecimated or stationary wavelet transform..Cycle-spinning exhibits benefits outside of wavelet de-noising, for example in cosine packet denoising, where it helps suppress ‘clicks’. It also has a counterpart in frequency domain de-noising, where the goal of translation-invariance
发表于 2025-3-22 14:03:48 | 显示全部楼层
Translation-Invariant De-Noising,-noising using the undecimated or stationary wavelet transform..Cycle-spinning exhibits benefits outside of wavelet de-noising, for example in cosine packet denoising, where it helps suppress ‘clicks’. It also has a counterpart in frequency domain de-noising, where the goal of translation-invariance
发表于 2025-3-22 18:52:30 | 显示全部楼层
Wavelet Thresholding: Beyond the Gaussian I.I.D. Situation,matically adapts to possibly different degrees of regularity for the different directions. The resulting fully-adaptive spectral estimator attains the rate that is optimal in the idealized Gaussian white noise model up to a logarithmic factor.
发表于 2025-3-22 22:47:24 | 显示全部楼层
Wavelet Thresholding: Beyond the Gaussian I.I.D. Situation,matically adapts to possibly different degrees of regularity for the different directions. The resulting fully-adaptive spectral estimator attains the rate that is optimal in the idealized Gaussian white noise model up to a logarithmic factor.
发表于 2025-3-23 04:44:29 | 显示全部楼层
Book 1995his volume reflects the broad spectrum of the conference. as it includes 21 articles contributed by specialists in various areas in this field. The material compiled is fairly wide in scope and ranges from the development of new tools for non parametric curve estimation to applied problems, such as
发表于 2025-3-23 09:31:45 | 显示全部楼层
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