Sample Complexity Analysis and Self-regularization in Identification of Over-parameterized ARX Models-Reference-Cited by-同舟云学术

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Sample Complexity Analysis and Self-regularization in Identification of Over-parameterized ARX Models

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 61st Conference on Decision and Control (CDC)
language:
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Author:

Du Zhe¹,Liu Zexiang¹,Weitze Jack¹,Ozay Necmiye¹

Affiliation:

1. University of Michigan,Electrical Engineering and Computer Science Department,Ann Arbor

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9992315/9992317/09993310.pdf?arnumber=9993310

Reference38 articles.

1. Sample Complexity Analysis and Self-regularization in Identification of Over-parameterized ARX Models

2. Autoregressive models for gene regulatory network inference: Sparsity, stability and causality issues

3. A parametric feature extraction and classification strategy for brain-computer interfacing

4. Parametric model derivation of transfer function for noninvasive estimation of aortic pressure by radial tonometry

5. Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Tutorial on the Non-Asymptotic Theory of System Identification;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. Sample Complexity Analysis and Self-regularization in Identification of Over-parameterized ARX Models;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06

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