A minimax approach to errors-in-variables linear models

DOI10.3103/S1066530718030031zbMath1412.62097OpenAlexW2895790556WikidataQ129085380 ScholiaQ129085380MaRDI QIDQ1631206

Y. Aharonov

Publication date: 5 December 2018

Published in: Mathematical Methods of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3103/s1066530718030031

zbMATH Keywords

convex optimization problem

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Minimax procedures in statistical decision theory (62C20) Computational aspects related to convexity (52B55)

Cites Work

• Applications of the van Trees inequality: A Bayesian Cramér-Rao bound
• Estimation in ill-posed linear models with nuisance design
• Adaptive estimation for inverse problems with noisy operators
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