Jump Sdes

Jump SDEs is a type of stochastic differential equation that incorporates discontinuous sample paths through the addition of jump processes, distinguishing it from classical SDEs by modeling sudden, discrete state changes driven by Poisson or Lévy processes.

67

Publications

2.4K

Citations

112

Authors

73

Institutions

Publications per year

2017–2026

14

Variants

Jump Stochastic Differential Equations

Authors

112

  1. CZ
    Chao Zhou

    National University of Singapore, Singapore

    3 publications · 57 citations

    3

    h-index

  2. DP
    Dylan Possamaï

    Université Paris Dauphine-PSL, France

    3 publications · 57 citations

    3

    h-index

  3. HK
    Hiroshi Kunita

    Kyushu University, Japan

    3 publications · 120 citations

    3

    h-index

  4. YS
    Yulin Song

    Nanjing University, China

    3 publications · 109 citations

    3

    h-index

  5. XZ
    Xicheng Zhang

    Rensselaer Polytechnic Institute, United States

    3 publications · 79 citations

    3

    h-index

1–5 of 112

Venues

  1. Stochastic Processes and their Applications

    9 publications · 576 citations

    9

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 127 citations

    5

    h-index

  3. Electronic Journal of Probability

    EJP · 4 publications · 88 citations

    4

    h-index

  4. Stochastics and Dynamics

    4 publications · 110 citations

    4

    h-index

  5. The Annals of Applied Probability

    4 publications · 156 citations

    4

    h-index

1–5