Semi-markov Kernels
Semi-Markov Kernels is a mathematical construct in stochastic process theory that generalizes Markov transition kernels by incorporating explicit dwell-time distributions, thereby characterizing the probability of transitioning between states contingent on the duration spent in the current state.
54
Publications
3.3K
Citations
105
Authors
80
Institutions
Publications per year
2017–2026
25
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Université de Technologie de Compiègne
Compiègne, France
7 h-index
12 publications
327 citations

Yeungnam University
Daegu, South Korea
5 h-index
5 publications
375 citations

Harbin Institute of Technology
Harbin, China
5 h-index
16 publications
1.8K citations
Anhui University of Technology
Ma'anshan City, China
5 h-index
11 publications
1.1K citations
Laboratoire de Mathématiques Blaise Pascal
Aubière, France
5 h-index
10 publications
244 citations
Chengdu University
Chengdu, China
4 h-index
4 publications
253 citations
Qufu Normal University
Qufu, China
3 h-index
6 publications
414 citations
Yonsei University
Seoul, South Korea
3 h-index
3 publications
117 citations
1–8 of 80
6 publications · 1.1K citations
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4 publications · 157 citations
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TFS · 4 publications · 334 citations
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3 publications · 59 citations
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2 publications · 248 citations
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