Kalman Smoother
A Kalman Smoother is an optimal recursive estimation algorithm that belongs to the class of Bayesian filtering methods, distinguished from its sibling filters by computing the maximum a posteriori estimate of the state sequence in a forward-backward manner, incorporating all available measurements across time rather than only those up to the current time step.
391
Publications
20.9K
Citations
939
Authors
450
Institutions
Publications per year
2017–2026
88
Parents
391
An Ensemble Kalman Smoother for Nonlinear Dynamics
Geir Evensen, Peter Jan van Leeuwen · Monthly Weather Review · 2000 · 591 citations · Full text
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Centre d'Enseignement et de Recherche en Environnement Atmosphérique, France
9 publications · 484 citations
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450

University of Eastern Finland
Joensuu, Finland
12 h-index
41 publications
1.9K citations
Centre d'Enseignement et de Recherche en Environnement Atmosphérique
Champs-sur-Marne, France
10 h-index
18 publications
649 citations

Heilongjiang University
Harbin, China
10 h-index
20 publications
480 citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
20 publications
935 citations
Texas A&M University
College Station, United States
9 h-index
21 publications
876 citations
École nationale des ponts et chaussées
Champs-sur-Marne, France
9 h-index
16 publications
623 citations
University of Michigan
Ann Arbor, United States
7 h-index
8 publications
684 citations

University of British Columbia
Vancouver, Canada
7 h-index
9 publications
405 citations
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17 publications · 791 citations
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11 publications · 518 citations
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11 publications · 823 citations
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11 publications · 526 citations
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9 publications · 979 citations
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