Coefficient-Dependent Thresholding Arne Kovac, Bernard W. Silverman  Home/Search
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Abstract: Various aspects of the wavelet approach to nonparametric regression are considered, with the overall aim of extending the scope of wavelet techniques, to irregularly-spaced data, to regularly-spaced data sets of arbitrary size, to heteroscedastic and correlated data, and to data that contain outliers. The core of the methodology is an algorithm for finding all the variances and within-level covariances in the wavelet table of a sequence with given covariance structure. If the original... (Update)
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BibTeX entry: (Update)
@misc{ arne-extending,
author = "Coefficient-Dependent Thresholding Arne",
title = "Extending The Scope Of Wavelet Regression Methods By",
url = "citeseer.ist.psu.edu/755703.html" }
Citations (may not include all citations):1526 Ten Lectures on Wavelets (context) - Daubechies - 1992
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24 The identification of multiple outliers (context) - Davies, Gather - 1993
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8 wavelet transforms (context) - Donoho, Yu - 1998
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4 Ethanol---a single-cylinder engine study of efficiency and e.. (context) - Brinkman - 1981
1 Denoising not equispaced data with wavelets (context) - Lenarduzzi - 1997
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