Estimates of matrix solutions of operator equations with random parameters under uncertainties
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Publication:6180911
DOI10.30970/MS.60.2.208-222OpenAlexW4389916850MaRDI QIDQ6180911
O. G. Nakonechnyi, P. M. Zinko
Publication date: 22 January 2024
Published in: Matematychni Studiï (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.30970/ms.60.2.208-222
linear operatoroperator equationobservationcorrelation matrixminimax estimateconjugate operatorscalar product of matricesrandom linear operatorguaranteed rms errorguaranteed rms matrix estimatelinear matrix estimatorquasiminimax estimate
Cites Work
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- Distributed testing and estimation under sparse high dimensional models
- Sub-Gaussian estimators of the mean of a random matrix with heavy-tailed entries
- Approximate minimax estimation of functionals of solutions to the wave equation under nonlinear observations
- User-friendly covariance estimation for heavy-tailed distributions
- Matrix estimation by universal singular value thresholding
- Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by Bulk Eigenvalue Matching Analysis
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