Markov Renewal Processes is a stochastic process that generalizes both Markov chains and renewal processes by characterizing the evolution of a system in which transitions between states occur at random times determined by a renewal process, with the sojourn times depending on the current and next state through a semi-Markov kernel.
378
Publications
16.3K
Citations
478
Authors
304
Institutions
Publications per year
2017–2026
30
Variants
Markov Renewal Process
Parents
Publications
378
1–5 of 378
Authors
478
- MF
8
h-index
- EÇ
7
h-index
- PJ
7
h-index
- EN
7
h-index
- BL
6
h-index
1–5 of 478
Institutions
304
University of California, Los Angeles
Los Angeles, United States
8 h-index
10 publications
265 citations
Northwestern University
Evanston, United States
8 h-index
9 publications
737 citations
University of Southern California
Los Angeles, United States
6 h-index
6 publications
228 citations
University of California, Berkeley
Berkeley, United States
6 h-index
6 publications
426 citations
University of Nottingham
Nottingham, United Kingdom
5 h-index
7 publications
279 citations
Stanford University
Stanford, United States
5 h-index
6 publications
294 citations
University of Sheffield
Sheffield, United Kingdom
5 h-index
7 publications
763 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
14 publications
713 citations
1–8 of 304
Venues
- Advances in Applied Probability
AAP · 37 publications · 1.6K citations
19
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- Journal of Applied Probability
JAP · 30 publications · 652 citations
17
h-index
- The Annals of Probability
17 publications · 927 citations
13
h-index
- The Annals of Mathematical Statistics
13 publications · 1.6K citations
12
h-index
- Operations Research
11 publications · 542 citations
11
h-index
1–5