NONPARAMETRIC STATISTICAL MODELING OF SPATIOTEMPORAL DYNAMICS BASED ON RECORDED DATA

DOI10.1142/S021812740401045XzbMath1072.62046MaRDI QIDQ4655671

Simon Mandelj, Edvard Govekar, Igor Grabec

Publication date: 8 March 2005

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

zbMATH Keywords

predictionchaosembeddingstate space reconstructionNonlinear dynamicsmanufacturing processesexperimental characterizationspatiotemporal data analysis

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Nonparametric estimation (62G05) Applications of statistics in engineering and industry; control charts (62P30) Estimation and detection in stochastic control theory (93E10) Nonparametric inference (62G99)

Related Items (1)

Predicting spatio-temporal time series using dimension reduced local states

Cites Work

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• Analysis of data sets of stochastic systems
• Independent coordinates for strange attractors from mutual information
• Experimental Nonlinear Physics
• The definition and measurement of the topological entropy per unit volume in parabolic PDEs
• Deterministic Nonperiodic Flow
• Pattern formation outside of equilibrium
• Predictability: a way to characterize complexity

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