Periodic boxcar deconvolution and Diophantine approximation
DOI10.1214/009053604000000391zbMath1056.62044arXivmath/0503663OpenAlexW2000917920MaRDI QIDQ1766117
Iain M. Johnstone, Marc Raimondo
Publication date: 28 February 2005
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/math/0503663
rates of convergenceellipsoidill-posed problemdeconvolutioncontinued fractionlinear inverse problemminimax riskmotion blurirrational numberhyperrectangle
Random fields; image analysis (62M40) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Inference from stochastic processes (62M99) Numerical methods for inverse problems for integral equations (65R32) Diophantine approximation in probabilistic number theory (11K60)
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Cites Work
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- Optimal rates of convergence for nonparametric statistical inverse problems
- Minimax theory of image reconstruction
- Speed of estimation in positron emission tomography and related inverse problems
- Minimax risk over hyperrectangles, and implications
- Diophantine approximation
- Optimal filtering of square-integrable signals in Gaussian noise
- Linear integral equations.
- A statistical approach to some inverse problems for partial differential equations
- Oracle inequalities for inverse problems
- Sharp adaptation for inverse problems with random noise
- Nonlinear solution of linear inverse problems by wavelet-vaguelette decomposition
- On minimax filtering over ellipsoids
- Optimal Discretization of Inverse Problems in Hilbert Scales. Regularization and Self-Regularization of Projection Methods
- Statistical Regularization of Inverse Problems
- Inverse problems as statistics
- Density estimation in the uniform deconvolution model
- Statistical Inverse Estimation in Hilbert Scales
- Wavelet Deconvolution in a Periodic Setting
- A statistical approach to the Cauchy problem for the Laplace equation
- Inverting noisy integral equations using wavelet expansions: a class of irregular convolutions