Semimartingale Models
Semimartingale Models is a mathematical framework in stochastic process theory characterized by its decomposition into a local martingale and a finite-variation process, specifically designed for modeling high-frequency time series data exhibiting both continuous and discontinuous sample paths.
542
Publications
28.6K
Citations
599
Authors
375
Institutions
Publications per year
2017–2026
46
542
Differential equations driven by rough signals
Terry Lyons · Revista Matemática Iberoamericana · 1998 · 1.1K citations · Full text
Testing for jumps in a discretely observed process
Yacine Aı̈t-Sahalia, Jean Jacod · The Annals of Statistics · 2009 · 588 citations · Full text
Social Sciences, Economics, Finance +14
DIFFUSION PROCESSES AND THEIR SAMPLE PATHS
Samuel Taylor · Journal of the London Mathematical Society · 1967 · 516 citations
1–5 of 542
599
École Nationale Supérieure de Techniques Avancées, France
14 publications · 526 citations
13
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12
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11
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10
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9
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1–5 of 599
375

Sorbonne Université
Paris, France
17 h-index
21 publications
2.1K citations
Columbia University
New York, United States
16 h-index
21 publications
1.6K citations
ETH Zurich
Zurich, Switzerland
14 h-index
26 publications
1.6K citations

Aarhus University
Aarhus, Denmark
13 h-index
20 publications
1.5K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
14 publications
418 citations
Université Paris Cité
Paris, France
10 h-index
14 publications
460 citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
12 publications
792 citations
École Polytechnique
Palaiseau, France
10 h-index
14 publications
714 citations
1–8 of 375
37 publications · 3.1K citations
28
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30 publications · 2.3K citations
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39 publications · 1.9K citations
21
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Repository · 28 publications · 727 citations
17
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17 publications · 1.5K citations
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