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A Gaussian–Mixture Model Smoother for Continuous Nonlinear Stochastic Dynamical Systems: Theory and Scheme
Publisher: American Meteorological Society
Abstract: etrospective inference through Bayesian smoothing is indispensable in geophysics, with crucial applications in ocean and numerical weather estimation, climate dynamics, and Earth system modeling. However, dealing with the ...
A Gaussian-Mixture Model Smoother for Continuous Nonlinear Stochastic Dynamical Systems: Applications
Publisher: American Meteorological Society
Abstract: he nonlinear Gaussian?Mixture?Model Dynamically?Orthogonal (GMM?DO) smoother for high?dimensional stochastic fields is exemplified and contrasted with other smoothers by applications to three dynamical systems, all of which ...