Bayesian Change Detection
Bayesian Change Detection is a probabilistic framework for identifying temporal alterations in spatial data by modeling uncertainty through Bayesian inference, distinguishing itself from other change detection methods through its explicit incorporation of prior knowledge and posterior probability updates.
183
Publications
9.1K
Citations
457
Authors
267
Institutions
Publications per year
2017–2026
45
Parents
183
Bayesian Online Changepoint Detection
Ryan P. Adams, David Mackay · ArXiv.org · 2007 · 603 citations · Full text
On Tests for Detecting Change in Mean
Ashish Sen, Muni S. Srivastava · The Annals of Statistics · 1975 · 357 citations · Full text
1–5 of 183
457
University of Illinois Urbana-Champaign, United States
6 publications · 624 citations
6
h-index
University of Southern California, United States
4 publications · 352 citations
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 457
267

Institut National de la Recherche Scientifique
Québec, Canada
7 h-index
17 publications
1.4K citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
10 publications
494 citations
Princeton University
Princeton, United States
5 h-index
8 publications
256 citations
Environment and Climate Change Canada
Ottawa, Canada
4 h-index
7 publications
263 citations
University of Southern California
Los Angeles, United States
4 h-index
4 publications
352 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
7 publications
556 citations

Queensland University of Technology
Brisbane, Australia
4 h-index
7 publications
100 citations
Hydro-Québec
Montreal, Canada
4 h-index
10 publications
1.1K citations
1–8 of 267
7 publications · 409 citations
7
h-index
5 publications · 245 citations
5
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5 publications · 222 citations
5
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5 publications · 239 citations
5
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4 publications · 198 citations
4
h-index
1–5