Information theory and dynamical system predictability
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Publication:657550
DOI10.3390/e13030612zbMath1229.94026OpenAlexW2065908464MaRDI QIDQ657550
Publication date: 9 January 2012
Published in: Entropy (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/e13030612
Dynamical systems in control (37N35) Foundations of time-dependent statistical mechanics (82C03) Information theory (general) (94A15)
Related Items (9)
Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics ⋮ Challenges in Climate Science and Contemporary Applied Mathematics ⋮ An information-theoretic approach to study fluid–structure interactions ⋮ An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems ⋮ A causality-based learning approach for discovering the underlying dynamics of complex systems from partial observations with stochastic parameterization ⋮ Uncertainty quantification of nonlinear Lagrangian data assimilation using linear stochastic forecast models ⋮ Non-Gaussian test models for prediction and state estimation with model errors ⋮ Predicting observed and hidden extreme events in complex nonlinear dynamical systems with partial observations and short training time series ⋮ Improving the prediction of complex nonlinear turbulent dynamical systems using nonlinear filter, smoother and backward sampling techniques
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