Continuous-time Markov Diffusion
Continuous-Time Markov Diffusion is a stochastic process that belongs to the class of continuous-time Markov processes and is distinguished by its continuous state space evolution governed by diffusion dynamics, wherein the future state depends only on the present state and transitions are driven by infinitesimal increments characterized by drift and diffusion coefficients.
15
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439
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33
Authors
26
Institutions
Publications per year
2017–2026
3
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A survey of recent results on continuous-time Markov decision processes
Xianping Guo, Onésimo Hernández–Lerma, Tomás Prieto-Rumeau et al. · Top · 2006 · 74 citations
The principle of the diffusion of arbitrary constants
Andrew D. Barbour · Journal of Applied Probability · 1972 · 54 citations
Engineering, Biology, Mathematics +17
1–5 of 15
33
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Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 74 citations
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1
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1
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1–5 of 33
26
University of Cambridge
Cambridge, United Kingdom
3 h-index
3 publications
169 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
1 publications
74 citations
Padjadjaran University
Bandung, Indonesia
1 h-index
3 publications
78 citations
Dalian University of Technology
Dalian, China
1 h-index
2 publications
22 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
1 h-index
2 publications
24 citations

Monash University
Melbourne, Australia
1 h-index
3 publications
75 citations

University of British Columbia
Vancouver, Canada
1 h-index
1 publications
17 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
1 publications
13 citations
1–8 of 26
AAP · 2 publications · 115 citations
2
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1 publications · 15 citations
1
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1 publications · 25 citations
1
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1 publications · 10 citations
1
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1 publications · 12 citations
1
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