Offline Change-Point Detection is a change-point detection paradigm that identifies temporal locations of statistical distributional shifts in a complete, fixed sequence of data, distinguished by its reliance on full access to the entire dataset prior to analysis, as opposed to sequential, real-time processing.
19
Publications
2.4K
Citations
60
Authors
33
Institutions
Publications per year
2017–2026
10
Variants
Batch Change-point Detection
Parents
Publications
19
1–5 of 19
Authors
60
- NV
2
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- YX
2
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- CT
2
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- LO
2
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- BA
1
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1–5 of 60
Institutions
33
Georgia Institute of Technology
Atlanta, United States
3 h-index
9 publications
237 citations
École Normale Supérieure Paris-Saclay
Gif-sur-Yvette, France
1 h-index
3 publications
3.7K citations
Johns Hopkins Bayview Medical Center
Baltimore, United States
1 h-index
2 publications
34 citations
Center for MathematicaL studies and their Applications
Cachan, France
1 h-index
3 publications
3.7K citations
London School of Economics and Political Science
London, United Kingdom
1 h-index
3 publications
93 citations
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
Nanjing, China
1 h-index
6 publications
144 citations
Johns Hopkins Hospital
Baltimore, United States
1 h-index
2 publications
34 citations
Johns Hopkins Medicine
Baltimore, United States
1 h-index
2 publications
34 citations
1–8 of 33
Venues
- arXiv (Cornell University)
Repository · 4 publications · 103 citations
4
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- Cement and Concrete Research
1 publications · 19 citations
1
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- Internet Research
1 publications · 57 citations
1
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- Annual Review of Statistics and Its Application
1 publications · 18 citations
1
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
1 publications · 31 citations
1
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1–5