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Dynamical properties of maps fitted to data in the noise-free limit
We argue that any attempt to classify dynamical properties from nonlinear finite time-series data requires a mechanistic model fitting the data better than piecewise linear models according to standard model selection criteria. Such a procedure seems necessary but still not sufficient.
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3957467/ https://www.ncbi.nlm.nih.gov/pubmed/23768079 http://dx.doi.org/10.1080/17513758.2013.804127 |
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author | Lindström, Torsten |
author_facet | Lindström, Torsten |
author_sort | Lindström, Torsten |
collection | PubMed |
description | We argue that any attempt to classify dynamical properties from nonlinear finite time-series data requires a mechanistic model fitting the data better than piecewise linear models according to standard model selection criteria. Such a procedure seems necessary but still not sufficient. |
format | Online Article Text |
id | pubmed-3957467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-39574672014-03-28 Dynamical properties of maps fitted to data in the noise-free limit Lindström, Torsten J Biol Dyn Research Article We argue that any attempt to classify dynamical properties from nonlinear finite time-series data requires a mechanistic model fitting the data better than piecewise linear models according to standard model selection criteria. Such a procedure seems necessary but still not sufficient. Taylor & Francis 2013-06-14 2013-12 /pmc/articles/PMC3957467/ /pubmed/23768079 http://dx.doi.org/10.1080/17513758.2013.804127 Text en © 2013 The Author(s). Published by Taylor & Francis. http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf This is an open access article distributed under the Supplemental Terms and Conditions for iOpenAccess articles published in Taylor & Francis journals (http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The moral rights of the named author(s) have been asserted. |
spellingShingle | Research Article Lindström, Torsten Dynamical properties of maps fitted to data in the noise-free limit |
title | Dynamical properties of maps fitted to data in the noise-free limit |
title_full | Dynamical properties of maps fitted to data in the noise-free limit |
title_fullStr | Dynamical properties of maps fitted to data in the noise-free limit |
title_full_unstemmed | Dynamical properties of maps fitted to data in the noise-free limit |
title_short | Dynamical properties of maps fitted to data in the noise-free limit |
title_sort | dynamical properties of maps fitted to data in the noise-free limit |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3957467/ https://www.ncbi.nlm.nih.gov/pubmed/23768079 http://dx.doi.org/10.1080/17513758.2013.804127 |
work_keys_str_mv | AT lindstromtorsten dynamicalpropertiesofmapsfittedtodatainthenoisefreelimit |