Predictability in Nonlinear Dynamical Systems with Model Uncertainty

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dc.creatorDuan, Jinqiao
dc.date2008-11-22
dc.date.accessioned2026-07-07T10:20:31Z
dc.date.available2026-07-07T10:20:31Z
dc.descriptionNonlinear systems with model uncertainty are often described by stochastic differential equations. Some techniques from random dynamical systems are discussed. They are relevant to better understanding of solution processes of stochastic differential equations and thus may shed lights on predictability in nonlinear systems with model uncertainty.
dc.descriptionA review and tutorial article; Stochastic Physics and Climate Modeling, T. N. Palmer and P. Williams (eds.), Cambridge Univ. Press, 2008 (to appear)
dc.identifierhttps://arxiv.org/abs/0811.3697
dc.identifierhttp://arxiv.org/abs/0811.3697
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/174872
dc.subjectDynamical Systems
dc.subjectProbability
dc.subject34F05, 34C45, 37H10, 60H10
dc.titlePredictability in Nonlinear Dynamical Systems with Model Uncertainty
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