Threshold Autoregression
Threshold Autoregression is a nonlinear time series model that extends the autoregressive framework by allowing regime switches in the dynamics of the process based on the value of a threshold variable, thereby capturing asymmetric behavior across different states of the system.
190
Publications
18.3K
Citations
292
Authors
205
Institutions
Publications per year
2017–2026
26
Variants
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Parents
190
1–5 of 190
292
London School of Economics and Political Science, United Kingdom
9 publications · 536 citations
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9
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8
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6
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6
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1–5 of 292
205
Chinese University of Hong Kong
Hong Kong, Hong Kong
11 h-index
20 publications
1.9K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
9 h-index
11 publications
459 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
7 h-index
11 publications
470 citations
Feng Chia University
Taichung, Taiwan
6 h-index
10 publications
504 citations
Jilin University
Changchun, China
6 h-index
16 publications
544 citations
University of Iowa
Iowa City, United States
5 h-index
5 publications
325 citations

International Monetary Fund
Washington D.C., United States
5 h-index
8 publications
180 citations
University of Kent
Canterbury, United Kingdom
5 h-index
6 publications
804 citations
1–8 of 205
14 publications · 1.2K citations
13
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Repository · 10 publications · 177 citations
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9 publications · 510 citations
9
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8 publications · 2K citations
8
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Repository · 7 publications · 157 citations
7
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