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Minimax rates for statistical inverse problems under general source
  conditions
v1v2 (latest)

Minimax rates for statistical inverse problems under general source conditions

6 July 2017
Litao Ding
Peter Mathé
ArXiv (abs)PDFHTML

Papers citing "Minimax rates for statistical inverse problems under general source conditions"

6 / 6 papers shown
Are minimizers of the Onsager-Machlup functional strong posterior modes?
Are minimizers of the Onsager-Machlup functional strong posterior modes?
Remo Kretschmann
453
2
0
08 Dec 2022
Designing truncated priors for direct and inverse Bayesian problems
Designing truncated priors for direct and inverse Bayesian problemsElectronic Journal of Statistics (EJS), 2021
S. Agapiou
Peter Mathé
429
5
0
21 May 2021
On the asymptotical regularization for linear inverse problems in
  presence of white noise
On the asymptotical regularization for linear inverse problems in presence of white noise
Shuai Lu
Pingping Niu
Frank Werner
206
10
0
09 Apr 2020
Regularization of linear ill-posed problems involving multiplication
  operators
Regularization of linear ill-posed problems involving multiplication operatorsApplicable Analysis (Appl. Anal.), 2019
Peter Mathé
M. Nair
B. Hofmann
132
11
0
16 Aug 2019
De-noising by thresholding operator adapted wavelets
De-noising by thresholding operator adapted wavelets
G. Yoo
H. Owhadi
217
8
0
28 May 2018
Empirical Risk Minimization as Parameter Choice Rule for General Linear
  Regularization Methods
Empirical Risk Minimization as Parameter Choice Rule for General Linear Regularization Methods
Housen Li
Frank Werner
194
12
0
22 Mar 2017
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