Robust Bayesian Filtering
Robust Bayesian Filtering is a Bayesian filtering framework distinguished by its ability to maintain accurate state estimation under model misspecification, outliers, or heavy-tailed noise through adaptive or bounded-influence mechanisms.
73
Publications
4.6K
Citations
190
Authors
94
Institutions
Publications per year
2017–2026
32
Parents
73
An overview of robust Bayesian analysis
James O. Berger, Elı́as Moreno, Luis R. Pericchi et al. · Test · 1994 · 610 citations
Using the CONDENSATION algorithm for robust, vision-based mobile robot localization
Frank Dellaert, Wolfram Burgard, D. Fox et al. · 2003 · 241 citations
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94
Texas A&M University
College Station, United States
4 h-index
5 publications
197 citations
University of Oxford
Oxford, United Kingdom
4 h-index
7 publications
151 citations

Harbin Engineering University
Harbin, China
4 h-index
13 publications
2.4K citations
University of Washington
Seattle, United States
3 h-index
5 publications
970 citations
The Ohio State University
Columbus, United States
3 h-index
2 publications
67 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
7 publications
1K citations

Universidad de Granada
Granada, Spain
3 h-index
4 publications
729 citations

University of Wisconsin–Milwaukee
Milwaukee, United States
3 h-index
4 publications
258 citations
1–8 of 94
4 publications · 276 citations
4
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4 publications · 74 citations
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3 publications · 113 citations
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2 publications · 37 citations
3
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2 publications · 80 citations
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