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.

1K

Publications

65.4K

Citations

1.3K

Authors

636

Institutions

Publications per year

2017–2026

116

Authors

1.3K

  1. DF
    Dmitriy F. Kuznetsov

    Peter the Great St. Petersburg Polytechnic University, Russia

    17 publications · 331 citations

    13

    h-index

  2. DN
    David Nualart

    Universitat de Barcelona, Spain

    12 publications · 700 citations

    12

    h-index

  3. MZ
    Moshe Zakai

    Technion – Israel Institute of Technology, Israel

    12 publications · 1.3K citations

    12

    h-index

  4. PP
    Philip Protter

    Cornell University, United States

    11 publications · 728 citations

    11

    h-index

  5. FR
    Francesco Russo

    École Nationale Supérieure de Techniques Avancées, France

    11 publications · 660 citations

    11

    h-index

1–5 of 1.3K

Venues

  1. The Annals of Probability

    67 publications · 3.4K citations

    34

    h-index

  2. Stochastic Processes and their Applications

    50 publications · 5K citations

    23

    h-index

  3. Stochastics and stochastics reports

    33 publications · 1.5K citations

    20

    h-index

  4. Theory of Probability and Its Applications

    26 publications · 2.7K citations

    19

    h-index

  5. arXiv (Cornell University)

    Repository · 30 publications · 838 citations

    17

    h-index

1–5