Comparisons of new nonlinear modeling techniques with applications to infant respiration.

DOI10.1016/S0167-2789(97)00311-4zbMath1041.62523MaRDI QIDQ1967263

Michael Small, Kevin Judd

Publication date: 9 April 2000

Published in: Physica D (Search for Journal in Brave)

zbMATH Keywords

Description lengthInfant respiratory patternsPeriodic breathingRadial basis modelingSurrogate analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Dynamical systems in biology (37N25) Physiology (general) (92C30)

Related Items (11)

Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques ⋮ Nonlinear dynamical system identification with dynamic noise and observational noise ⋮ Nonstationarity signatures in the dynamics of global nonlinear models ⋮ Correlation dimension: A pivotal statistic for non-constrained realizations of composite hypotheses in surrogate data analysis ⋮ Fitting model equations to time series using chaos synchronization ⋮ A COMPARATIVE STUDY OF MODEL SELECTION METHODS FOR NONLINEAR TIME SERIES ⋮ A COMPARATIVE STUDY OF INFORMATION CRITERIA FOR MODEL SELECTION ⋮ REFINEMENTS TO MODEL SELECTION FOR NONLINEAR TIME SERIES ⋮ OBSERVATION OF A PERIOD DOUBLING BIFURCATION DURING ONSET OF HUMAN VENTRICULAR FIBRILLATION ⋮ MODELING NONLINEAR TIME SERIES USING IMPROVED LEAST SQUARES METHOD ⋮ Modeling nonlinear dynamics and chaos: a review

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• Constrained-realization Monte-Carlo method for hypothesis testing
• Embedding as a modeling problem

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