Multivariate Change-point Detection
Multivariate Change-Point Detection is a change-point detection framework that identifies abrupt alterations in the joint distribution of multivariate time series data, distinguished from univariate approaches by simultaneously accounting for dependencies and structural changes across multiple correlated variables.
118
Publications
5.2K
Citations
277
Authors
192
Institutions
Publications per year
2017–2026
42
Parents
118
Modeling changing dependency structure in multivariate time series
Kevin J. Murphy · 2007 · 221 citations
A Rank-Based Multivariate CUSUM Procedure
Peihua Qiu, Douglas M. Hawkins · Technometrics · 2001 · 215 citations
1–5 of 118
277
4
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 277
192

University of Minnesota
Minneapolis, United States
5 h-index
6 publications
675 citations
Lancaster University
Lancaster, United Kingdom
4 h-index
7 publications
193 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
9 publications
282 citations
Politecnico di Milano
Milan, Italy
3 h-index
4 publications
125 citations

Nankai University
Tianjin, China
3 h-index
5 publications
228 citations
KU Leuven
Leuven, Belgium
3 h-index
15 publications
690 citations
Twin Cities Orthopedics
Edina, United States
3 h-index
4 publications
588 citations
University of Utah
Salt Lake City, United States
3 h-index
3 publications
113 citations
1–8 of 192
Repository · 7 publications · 144 citations
7
h-index
5 publications · 88 citations
5
h-index
4 publications · 116 citations
4
h-index
4 publications · 541 citations
4
h-index
3 publications · 106 citations
3
h-index
1–5