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The Challenge of Small Data: Dynamic Mode Decomposition, Redux

Methodology 2021-05-05 v2 Systems and Control Systems and Control
Authors: Amirhossein Karimi , Tryphon T. Georgiou
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Abstract

We revisit the setting and the assumptions that underlie the methodology of Dynamic Mode Decomposition (DMD) in order to highlight caveats as well as potential measures of when the applicability is warranted.

Keywords

statistical data analysis sufficient dimension reduction statistical inference and model selection

Cite

@article{arxiv.2104.04005,
  title  = {The Challenge of Small Data: Dynamic Mode Decomposition, Redux},
  author = {Amirhossein Karimi and Tryphon T. Georgiou},
  journal= {arXiv preprint arXiv:2104.04005},
  year   = {2021}
}

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