Learning dynamical systems from data: A simple cross-validation perspective, part I: Parametric kernel flows-Reference-Cited by-同舟云学术

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Learning dynamical systems from data: A simple cross-validation perspective, part I: Parametric kernel flows

Published:2021-07 Issue: Volume:421 Page:132817
ISSN:0167-2789
Container-title:Physica D: Nonlinear Phenomena
language:en
Short-container-title:Physica D: Nonlinear Phenomena

Author:

Hamzi Boumediene,Owhadi Houman

Funder

Marie Curie

European Commission

Air Force Office of Scientific Research

H2020 Marie Skłodowska-Curie Actions

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

Reference46 articles.

1. Time Series Analysis: Forecasting and Control;Box,1976

2. Analysis of Observed Chaotic Data;Abarbanel,2012

3. Nonlinear Time Series Analysis;Kantz,1997

4. Practical Time Series Analysis: Prediction with Statistics and Machine Learning;Nielsen,2019

5. Time Series Analysis and Its Applications: with R Examples;Shumway,2010

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