Variational Bayesian Filtering
Variational Bayesian Filtering is a Bayesian filtering method that approximates intractable posterior distributions by optimizing over a family of simpler distributions using variational inference principles.
309
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15.5K
Citations
908
Authors
346
Institutions
Publications per year
2017–2026
179
Parents
309
Frédéric Chevallier, François‐Marie Bréon, P. J. Rayner · Journal of Geophysical Research Atmospheres · 2007 · 440 citations · Full text
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Harbin Engineering University
Harbin, China
24 h-index
94 publications
10K citations

Northwestern Polytechnical University
Xi'an, China
13 h-index
53 publications
1.9K citations
University College London
London, United Kingdom
13 h-index
30 publications
2.7K citations

Xi'an Jiaotong University
Xi'an, China
12 h-index
31 publications
1.2K citations

Southeast University
Nanjing, China
11 h-index
31 publications
929 citations

Newcastle University
Newcastle upon Tyne, United Kingdom
11 h-index
18 publications
2.3K citations

University of Electronic Science and Technology of China
Chengdu, China
10 h-index
27 publications
1.3K citations

Harbin Institute of Technology
Harbin, China
10 h-index
16 publications
2K citations
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20 publications · 1.2K citations
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11 publications · 365 citations
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9 publications · 287 citations
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