Stochastic Integration
Stochastic Integration is a mathematical framework within stochastic calculus that generalizes the concept of integration to processes involving randomness, specifically by integrating a predictable process with respect to a semimartingale, thereby accounting for the inherent variability and non-differentiability of sample paths in continuous-time stochastic systems.
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1.3K
Authors
636
Institutions
Publications per year
2017–2026
116
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PE, P. Billingsley · Journal of the American Statistical Association · 1996 · 6.7K citations
Statistical Models Based on Counting Processes
Xavier Bry, Per Kragh Andersen, Ørnulf Borgan et al. · Population · 1997 · 2.9K citations
Differential equations driven by rough signals
Terry Lyons · Revista Matemática Iberoamericana · 1998 · 1.1K citations · Full text
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Peter the Great St. Petersburg Polytechnic University, Russia
17 publications · 331 citations
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11
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École Nationale Supérieure de Techniques Avancées, France
11 publications · 660 citations
11
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636

Centre National de la Recherche Scientifique
Paris, France
17 h-index
30 publications
1.7K citations

Sorbonne Université
Paris, France
15 h-index
17 publications
1.1K citations
Université Paris Cité
Paris, France
12 h-index
18 publications
749 citations
Universitat de Barcelona
Barcelona, Spain
12 h-index
18 publications
1.2K citations

University of Pisa
Pisa, Italy
11 h-index
16 publications
909 citations
École Polytechnique
Palaiseau, France
11 h-index
16 publications
2.4K citations

University of Oslo
Oslo, Norway
10 h-index
15 publications
1.1K citations

Northwestern Polytechnical University
Xi'an, China
10 h-index
25 publications
669 citations
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67 publications · 3.4K citations
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50 publications · 5K citations
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33 publications · 1.5K citations
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26 publications · 2.7K citations
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Repository · 30 publications · 838 citations
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