Markovian Arrival Processes is a stochastic point process that models event occurrences over time by embedding the arrival mechanism within a continuous-time Markov chain, where transitions govern both the timing and correlation structure of arrivals.
264
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376
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222
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2017–2026
47
Parents
Publications
264
A versatile Markovian point process
Marcel F. Neuts · Journal of Applied Probability · 1979 · 797 citations
1–5 of 264
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376
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9
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1–5 of 376
Institutions
222
Belarusian State University
Minsk, Belarus
16 h-index
47 publications
1.1K citations
University of Manitoba
Winnipeg, Canada
12 h-index
22 publications
619 citations
TU Dortmund University
Dortmund, Germany
10 h-index
22 publications
1.6K citations
Indian Institute of Technology Kharagpur
Kharagpur, India
9 h-index
16 publications
381 citations
AT&T (United States)
Bedminster, United States
9 h-index
15 publications
1.9K citations
University of Waterloo
Waterloo, Canada
8 h-index
16 publications
361 citations
Sangji University
Wŏnju, South Korea
8 h-index
8 publications
192 citations
Universidad de Granada
Granada, Spain
7 h-index
9 publications
252 citations
1–8 of 222
Venues
- Communications in Statistics Stochastic Models
16 publications · 1.8K citations
15
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- Stochastic Models
16 publications · 372 citations
13
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- Performance Evaluation
14 publications · 807 citations
13
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- Journal of Applied Probability
JAP · 16 publications · 1.5K citations
13
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- Mathematics
8 publications · 153 citations
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