NONPARAMETRIC MODELING AND SPATIOTEMPORAL DYNAMICAL SYSTEMS

DOI10.1142/S0218127404010382zbMath1072.62068arXivnlin/0202058MaRDI QIDQ4655672

Markus Abel

Publication date: 8 March 2005

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/nlin/0202058

zbMATH Keywords

statistical analysisTime series analysisspatiotemporal modeling

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Generalized linear models (logistic models) (62J12) Time series analysis of dynamical systems (37M10)

Related Items (2)

Numerical differentiation of experimental data: local versus global methods ⋮ Inferring the dynamics of oscillatory systems using recurrent neural networks

Uses Software

• KLTOOL

Cites Work

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• Linear smoothers and additive models
• Nonparametric regression with errors in variables
• Remarks on functional canonical variates, alternating least squares methods and ACE
• On measures of dependence
• On the backfitting algorithm for additive regression models
• A kernel method of estimating structured nonparametric regression based on marginal integration
• Nonparametric regression in the presence of measurement error
• Pattern formation outside of equilibrium
• Mutual Information and Maximal Correlation as Measures of Dependence

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