State Duration Modeling
State Duration Modeling is a method within the framework of Hidden Markov Models that explicitly characterizes the probability distribution of the number of time steps a system remains in a particular state, thereby enhancing the temporal modeling capability beyond the implicit geometric duration assumption of standard Markovian transitions.
98
Publications
5K
Citations
284
Authors
168
Institutions
Publications per year
2017–2026
15
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168
Tokyo Institute of Technology
Tokyo, Japan
6 h-index
14 publications
549 citations
AT&T (United States)
Bedminster, United States
5 h-index
9 publications
528 citations

Université de Rouen Normandie
Rouen, France
4 h-index
4 publications
159 citations

University of Edinburgh
Edinburgh, United Kingdom
4 h-index
10 publications
281 citations

University of Birmingham
Birmingham, United Kingdom
3 h-index
7 publications
184 citations
IZA - Institute of Labor Economics
Bonn, Germany
3 h-index
3 publications
289 citations

Nagoya Institute of Technology
Nagoya, Japan
3 h-index
14 publications
182 citations

University of Waterloo
Waterloo, Canada
3 h-index
5 publications
307 citations
1–8 of 168
5 publications · 110 citations
5
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5 publications · 443 citations
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3 publications · 231 citations
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2 publications · 242 citations
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Conference · 2 publications · 107 citations
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