A Gaussian Mixture Model Smoother for Continuous Nonlinear Stochastic Dynamical Systems: Theory and Scheme
Retrospective 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 high-dimensionality and nonlinearity of geophysical processes remains a major...
Main Authors: | Lolla, Tapovan, Lermusiaux, Pierre |
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Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Published: |
American Meteorological Society
2018
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Online Access: | http://hdl.handle.net/1721.1/114992 https://orcid.org/0000-0002-1869-3883 |
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