Bayesian Surveillance
Bayesian Surveillance is a statistical methodology within time-series surveillance that employs Bayesian inference to sequentially update probabilistic assessments of anomalous patterns or change points, distinguishing itself by its explicit incorporation of prior knowledge and uncertainty quantification in dynamic monitoring environments.
35
Publications
1.4K
Citations
131
Authors
78
Institutions
Publications per year
2017–2026
6
Parents
35
Bayesian multi-camera surveillance
V. Kettnaker, Ramin Zabih · 2003 · 279 citations
Visual surveillance in a dynamic and uncertain world
Hilary Buxton, Shaogang Gong · Artificial Intelligence · 1995 · 165 citations
Carlos R. del‐Blanco, Fernando Jaureguizar, Narciso Garcı́a · IEEE Transactions on Consumer Electronics · 2012 · 80 citations · Full text
Aïcha Goubar, A. E. Ades, Daniela De Angelis et al. · Journal of the Royal Statistical Society Series A (Statistics in Society) · 2008 · 73 citations · Full text
1–5 of 35
131
4
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 131
78
Robert Koch Institute
Berlin, Germany
2 h-index
4 publications
179 citations
Ludwig-Maximilians-Universität München
Munich, Germany
2 h-index
2 publications
35 citations
National Wildlife Health Center
Madison, United States
2 h-index
6 publications
156 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
4 publications
76 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
2 h-index
3 publications
60 citations
University of South Carolina
Columbia, United States
2 h-index
2 publications
35 citations

Universidad Politécnica de Madrid
Madrid, Spain
2 h-index
6 publications
279 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
52 citations
1–8 of 78
3 publications · 64 citations
3
h-index
2 publications · 249 citations
2
h-index
2 publications · 75 citations
2
h-index
1 publications · 58 citations
1
h-index
1 publications · 26 citations
1
h-index
1–5