Inferring mechanism from time-series data: Delay-differential equations

DOI10.1016/S0167-2789(97)00123-1zbMath0925.62386WikidataQ57030991 ScholiaQ57030991MaRDI QIDQ1373925

Stephen P. Ellner, Cheryl J. Briggs, Simon N. Wood, Edward McCauley, Bruce E. Kendall

Publication date: 26 November 1997

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

zbMATH Keywords

population dynamic

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Functional-differential equations (including equations with delayed, advanced or state-dependent argument) (34K99) Nonparametric inference (62G99)

Related Items

Class-oriented techniques for reconstruction of dynamics from time series ⋮ Maximum likelihood inference for univariate delay differential equation models with multiple delays ⋮ Estimating a Predator‐Prey Dynamical Model with the Parameter Cascades Method ⋮ Recovery of delay time from time series based on the nearest neighbor method ⋮ Estimating parameters in delay differential equation models ⋮ Cycles, chaos, and noise in predator-prey dynamics ⋮ Reconstruction of time-delayed feedback systems from time series ⋮ Parameter estimation of delay differential equations: an integration-free LS-SVM approach

Cites Work

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• Oscillation and Chaos in Physiological Control Systems
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