Change-Point Estimation is the statistical inference task of determining the location(s) of structural breaks in a sequence of data, where the underlying generative process undergoes abrupt changes, distinguished from broader change-point detection by its focus on accurately localizing the change points rather than merely testing for their presence.
1.1K
Publications
80.8K
Citations
1.9K
Authors
978
Institutions
Publications per year
2017–2026
240
Parents
Publications
1.1K
1–5 of 1.1K
Authors
1.9K
- LH
16
h-index
- MH
14
h-index
- PF
14
h-index
- PK
13
h-index
- JJ
13
h-index
1–5 of 1.9K
Institutions
978
Centre National de la Recherche Scientifique
Paris, France
20 h-index
35 publications
2.2K citations
Charles University
Prague, Czechia
17 h-index
31 publications
1.3K citations
Stanford University
Stanford, United States
16 h-index
26 publications
2.6K citations
University of Utah
Salt Lake City, United States
16 h-index
18 publications
970 citations
Lancaster University
Lancaster, United Kingdom
15 h-index
32 publications
10K citations
London School of Economics and Political Science
London, United Kingdom
13 h-index
17 publications
1.2K citations
Nankai University
Tianjin, China
12 h-index
32 publications
2.5K citations
Yale University
New Haven, United States
12 h-index
19 publications
1.5K citations
1–8 of 978
Venues
- The Annals of Statistics
43 publications · 4.6K citations
33
h-index
- Biometrika
33 publications · 11K citations
26
h-index
- Journal of the American Statistical Association
26 publications · 5.7K citations
20
h-index
- arXiv (Cornell University)
Repository · 38 publications · 1.2K citations
18
h-index
- Statistics & Probability Letters
27 publications · 1.4K citations
17
h-index
1–5