Abstract: Chapter 2 Nonlinear Analysis of Time Series Data Henry D. I. Abarbanel, Henry D. I. Abarbanel [email protected] Marine Physical Laboratory (Scripps Institution of Oceanography), Department of Physics, Institute for Nonlinear Science, University of California San Diego, 9500 Gilman Drive, Mail Code-0402, La Jolla, CA 92093-0402, USASearch for more papers by this authorUlrich Parlitz, Ulrich Parlitz [email protected] Applied Nonlinear Dynamics, University of Göttingen, Bürgerstraße 42–44, 37073 Göttingen, GermanySearch for more papers by this author Henry D. I. Abarbanel, Henry D. I. Abarbanel [email protected] Marine Physical Laboratory (Scripps Institution of Oceanography), Department of Physics, Institute for Nonlinear Science, University of California San Diego, 9500 Gilman Drive, Mail Code-0402, La Jolla, CA 92093-0402, USASearch for more papers by this authorUlrich Parlitz, Ulrich Parlitz [email protected] Applied Nonlinear Dynamics, University of Göttingen, Bürgerstraße 42–44, 37073 Göttingen, GermanySearch for more papers by this author Book Editor(s):Björn Schelter, Björn Schelter Center for Data Analysis and Modeling (FDM), University of Freiburg, Eckerstrasse 1, 79104 Freiburg, GermanySearch for more papers by this authorMatthias Winterhalder, Matthias Winterhalder Center for Data Analysis and Modeling (FDM), University of Freiburg, Eckerstrasse 1, 79104 Freiburg, GermanySearch for more papers by this authorJens Timmer, Jens Timmer Center for Data Analysis and Modeling (FDM), University of Freiburg, Eckerstrasse 1, 79104 Freiburg, GermanySearch for more papers by this author First published: 06 September 2006 https://doi.org/10.1002/9783527609970.ch2Citations: 2 AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Summary This chapter contains sections titled: Introduction Unfolding the Data: Embedding Theorem in Practice Choosing T: Average Mutual Information Choosing D: False Nearest Neighbors Local or Dynamical Dimension Interspike Intervals Where are We? Lyapunov Exponents: Prediction, Classification, and Chaos Predicting Modeling Modeling Interspike Intervals Modeling the Observed Membrane Voltage Time Series ODE Modeling Conclusion References Citing Literature Handbook of Time Series Analysis: Recent Theoretical Developments and Applications RelatedInformation
Publication Year: 2006
Publication Date: 2006-09-06
Language: en
Type: other
Indexed In: ['crossref']
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Cited By Count: 8
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