Instances of Computational Optimal Recovery: Dealing with Observation Errors-Reference-Cited by-同舟云学术

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Instances of Computational Optimal Recovery: Dealing with Observation Errors

Published:2021-01 Issue:4 Volume:9 Page:1438-1456
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Ettehad Mahmood,Foucart Simon

Funder

Division of Computing and Communication Foundations

Division of Mathematical Sciences

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://epubs.siam.org/doi/pdf/10.1137/20M1328476

Reference9 articles.

1. A Stability Barrier for Reconstructions from Fourier Samples

2. Data Assimilation in Reduced Modeling

3. Optimal Reduced Model Algorithms for Data-Based State Estimation

4. Computing a Quantity of Interest from Observational Data

5. Computation of Minimal Projections and Extensions

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1. Radius of information for two intersected centered hyperellipsoids and implications in optimal recovery from inaccurate data;Journal of Complexity;2024-08

2. Near-optimal estimation of linear functionals with log-concave observation errors;Information and Inference: A Journal of the IMA;2023-09-19

3. Inverse Problems: A Deterministic Approach Using Physics-Based Reduced Models;Lecture Notes in Mathematics;2023

4. Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, But What of the Parameter?;Constructive Approximation;2022-10-14

5. Learning from non-random data in Hilbert spaces: an optimal recovery perspective;Sampling Theory, Signal Processing, and Data Analysis;2022-04-26

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