The taut string approach to statistical inverse problems: Theory and applications-Reference-Cited by-同舟云学术

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The taut string approach to statistical inverse problems: Theory and applications

Published:2021-01 Issue: Volume:382 Page:113098
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Kim Sangjin,Pokojovy Michael,Wan Xiang

Funder

Deutsche Forschungsgemeinschaft

European Research Council

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference31 articles.

1. Stochastic Processes and Filtering Theory;Jazwinski,2007

2. Observation and Control for Operator Semigroups;Tucsnak,2009

3. Parameter Estimation and Inverse Problems;Aster,2011

4. Statistical estimation and optimal recovery;Donoho;Ann. Statist.,1994

5. Regularization Methods in Banach Spaces;Schuster,2012

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1. On Combining Robustness and Regularization in Training Multilayer Perceptrons over Small Data;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

2. Univariate fast initial response statistical process control with taut strings;Journal of Applied Statistics;2021-03-16

3. Applying Heath-Jarrow-Morton Model to Forecasting the US Treasury Daily Yield Curve Rates;Mathematics;2021-01-06

4. A Comparison of Trend Estimators Under Heteroscedasticity;Artificial Intelligence and Soft Computing;2021

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