On the interpretation of the Master Equation
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Such motifs are known to be highly overrepresented in transcriptional, signaling, and neural networks compared with random networks.
“Such motifs are known to be highly overrepresented in transcriptional, signaling, and neural networks compared with random networks [48-50].”
From Theoretical Analysis of Resource-Induced Phase Transitions in Estimation Strategies (2026) · cites this paper as [49]
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- Authors
- Bensoussan, A., Frehse, J., & Yam, S. C. P.
- Affiliations
- The University of Texas at Dallas (US)
- University of Bonn (DE)
- Chinese University of Hong Kong (HK)
- Corresponding author
- Bensoussan, A.
- Venue
- Stochastic Processes and their Applications
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 127
- Issue
- 7
- Pages
- 2093-2137
- ISSN
- 0304-4149 (ISSN-L)
- OpenAlex
- W1535112781
- Cited by
- 76
- References
- 8
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 7 · 2021: 6 · 2020: 13 · 2019: 11 · 2018: 15 · 2017: 2 · 2016: 3 · 2015: 2
- FWCI
- 17.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Stochastic Processes and their Applications (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (DMS-1303775, DMS-1612880)
- Research Grants Council of the Hong Kong Special Administrative Region (CityU 500113, CityU 11303316)
- Hong Kong RGC GRF (14301015)
- Department of Statistics of Columbia University in the City of New York
- GRF (11303316)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Finance › Stochastic processes and financial applications
- Physical Sciences › Mathematics › Applied Mathematics › Nonlinear Partial Differential Equations
- Physical Sciences › Mathematics › Mathematical Physics › Stochastic processes and statistical mechanics
- Keywords
- master equation, stochastic differential equations, probability measures, square integrable random variables, Hilbert spaces
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