Adaptive denoising of signals with local shift-invariant structure
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Publication:6119044
DOI10.1007/978-3-031-30114-8_1arXiv1806.04028OpenAlexW2805090350MaRDI QIDQ6119044
Dmitrii M. Ostrovskii, Zaid Harchaoui, Anatoli B. Juditsky, Arkadi Nemirovski
Publication date: 22 March 2024
Published in: Foundations of Modern Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1806.04028
Cites Work
- Unnamed Item
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- Statistics for high-dimensional data. Methods, theory and applications.
- Bandwidth selection in kernel density estimation: oracle inequalities and adaptive minimax optimality
- Nonparametric denoising of signals of unknown local structure. II: Nonparametric function recovery
- Nonparametric denoising of signals with unknown local structure. I: Oracle inequalities
- Concentration inequalities and model selection. Ecole d'Eté de Probabilités de Saint-Flour XXXIII -- 2003.
- Minimax risk over hyperrectangles, and implications
- Optimal filtering of square-integrable signals in Gaussian noise
- Renormalization exponents and optimal pointwise rates of convergence
- Statistical estimation and optimal recovery
- Optimal spatial adaptation to inhomogeneous smoothness: An approach based on kernel estimates with variable bandwidth selectors
- Near-optimality of linear recovery from indirect observations
- Functional aggregation for nonparametric regression.
- Adaptive estimation of a quadratic functional by model selection.
- Spectral compressive sensing
- On detecting harmonic oscillations
- Adaptive estimation over anisotropic functional classes via oracle approach
- Simultaneous analysis of Lasso and Dantzig selector
- Near-optimality of linear recovery in Gaussian observation scheme under \(\| \cdot \|_{2}^{2}\)-loss
- The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
- General Selection Rule from a Family of Linear Estimators
- Super-resolution, Extremal Functions and the Condition Number of Vandermonde Matrices
- Near Minimax Line Spectral Estimation
- MUSIC, maximum likelihood, and Cramer-Rao bound
- Estimation of Linear Functionals in Gaussian Noise
- Ideal spatial adaptation by wavelet shrinkage
- On sequential estimation of an autoregressive parameter
- Adaptive de-noising of signals satisfying differential inequalities
- Array algorithms for H/sup ∞/ estimation
- Atomic Norm Denoising With Applications to Line Spectral Estimation
- On a Problem of Adaptive Estimation in Gaussian White Noise
- All of Nonparametric Statistics
- Introduction to nonparametric estimation