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Felix Abramovich
Researcher at Tel Aviv University
Publications - 51
Citations - 2753
Felix Abramovich is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Estimator & Minimax. The author has an hindex of 18, co-authored 48 publications receiving 2579 citations.
Papers
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Wavelet thresholding via a Bayesian approach
TL;DR: In this paper, a prior distribution is imposed on the wavelet coefficients of the unknown response function, designed to capture the sparseness of wavelet expansion that is common to most applications.
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Adapting to unknown sparsity by controlling the false discovery rate
TL;DR: This work provides a new perspective on a class of model selection rules which has been introduced recently by several authors, and exhibits a close connection with FDR-controlling procedures under stringent control of the false discovery rate.
Posted Content
Adapting to Unknown Sparsity by controlling the False Discovery Rate
TL;DR: In this article, a data-adaptive thresholding scheme is proposed to recover an n-dimensional vector observed in white noise, where the vector is known to be sparse, but the degree of sparsity is unknown.
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Wavelet decomposition approaches to statistical inverse problems
TL;DR: In this article, a wavelet-vaguelette decomposition method is proposed to estimate the derivative of a function observed subject to noise in the presence of noise, and the performance of various methods are compared through exact risk calculations, in the context of the estimation of the derivative.
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Wavelet Analysis and its Statistical Applications
TL;DR: The use of wavelet analysis in statistical applications has been discussed in this article, with a focus on the general statistical audience who may be involved in analysing data where wavelet might be effective, rather than researchers who are already familiar with the field.