Threshold Autoregressive Models
Threshold Autoregressive Models is a class of nonlinear time series models that extends autoregressive processes by introducing regime-switching behavior governed by threshold values of past observations, allowing the model dynamics to change based on whether a specified threshold variable falls within distinct intervals.
421
Publications
33.5K
Citations
668
Authors
438
Institutions
Publications per year
2017–2026
63
421
1–5 of 421
668
London School of Economics and Political Science, United Kingdom
11 publications · 739 citations
11
h-index
11
h-index
10
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
10 publications · 674 citations
10
h-index
9
h-index
1–5 of 668
438

University of Hong Kong
Pok Fu Lam, Hong Kong
16 h-index
27 publications
2K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
11 h-index
20 publications
1.9K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
10 h-index
14 publications
770 citations
Feng Chia University
Taichung, Taiwan
10 h-index
14 publications
635 citations
University of Wisconsin–Madison
Madison, United States
7 h-index
8 publications
4.4K citations
University of Chicago
Chicago, United States
7 h-index
9 publications
1.8K citations
University of Iowa
Iowa City, United States
7 h-index
7 publications
411 citations
University of Kent
Canterbury, United Kingdom
7 h-index
8 publications
909 citations
1–8 of 438
26 publications · 1.9K citations
19
h-index
16 publications · 4K citations
16
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JBES · 15 publications · 2.3K citations
14
h-index
Repository · 20 publications · 615 citations
14
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Repository · 18 publications · 378 citations
13
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