Titlebook: Bayesian Inference in Wavelet-Based Models; Peter Müller,Brani Vidakovic Book 1999 Springer Science+Business Media New York 1999 Markov mo

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978-0-387-98885-6Springer Science+Business Media New York 1999

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Spectral View of Wavelets and Nonlinear Regressiond power of the wavelet approach comes from a discrete spectral analysis point of view. Some of the ideas here are the same as some introduced in Chapter 1, but the different viewpoint is intended to give additional insights.

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Minimax Restoration and Deconvolution we study linear and non-linear diagonal estimators in an orthogonal basis. General conditions are given to build nearly minimax optimal estimators with a thresholding in an orthogonal basis. The deconvolution of bounded variation signals is studied in further details, with an application to the deblurring of satellite images.

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Bayesian Inference in Wavelet-Based Models978-1-4612-0567-8Series ISSN 0930-0325 Series E-ISSN 2197-7186

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Jennifer A. Miller,Brendan Hoover we study linear and non-linear diagonal estimators in an orthogonal basis. General conditions are given to build nearly minimax optimal estimators with a thresholding in an orthogonal basis. The deconvolution of bounded variation signals is studied in further details, with an application to the deblurring of satellite images.

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