Regime Shift Modeling
Regime Shift Modeling is a statistical framework that identifies and characterizes abrupt changes in the underlying structure of a time series process, distinguishing itself from other structural break methods by explicitly modeling the transitions between distinct regimes as endogenous, state-dependent shifts governed by threshold, Markov, or latent variable mechanisms.
435
Publications
40.4K
Citations
1.1K
Authors
667
Institutions
Publications per year
2017–2026
98
Variants
Regime-switching Modeling
Parents
435
1–5 of 435
1.1K
University of North Carolina at Chapel Hill, United States
7 publications · 279 citations
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1–5 of 1.1K
667
University of Virginia
Charlottesville, United States
9 h-index
11 publications
3.5K citations
University of Wisconsin–Madison
Madison, United States
9 h-index
16 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
22 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
24 publications
1.2K citations
University of Washington
Seattle, United States
8 h-index
12 publications
1.3K citations

National Bureau of Economic Research
Cambridge, United States
8 h-index
10 publications
437 citations

University of Rochester
Rochester, United States
7 h-index
9 publications
3K citations
Japan Fisheries Research and Education Agency
Yokohama, Japan
6 h-index
19 publications
1.4K citations
1–8 of 667
Repository · 34 publications · 960 citations
21
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Repository · 19 publications · 332 citations
11
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10 publications · 5.3K citations
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JBES · 10 publications · 1.4K citations
10
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10 publications · 859 citations
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