Simulation Of Jump Processes

Simulation of Jump Processes is a computational methodology within stochastic process modeling that specifically generates sample paths of discontinuous trajectories governed by jump diffusions or pure jump processes, distinguishing it from continuous-path simulation techniques by incorporating random, abrupt state changes at random or deterministic times.

77

Publications

4K

Citations

164

Authors

108

Institutions

Publications per year

2017–2026

12

Authors

164

  1. SN
    Satya N. Majumdar

    Centre National de la Recherche Scientifique, France

    3 publications · 74 citations

    3

    h-index

  2. GT
    George Tauchen

    Duke University, United States

    2 publications · 102 citations

    2

    h-index

  3. AD
    Angelos Dassios

    London School of Economics and Political Science, United Kingdom

    2 publications · 61 citations

    2

    h-index

  4. YY
    Yu Ye

    Hunan University, China

    2 publications · 33 citations

    2

    h-index

  5. HZ
    Hongbiao Zhao

    London School of Economics and Political Science, United Kingdom

    2 publications · 61 citations

    2

    h-index

1–5 of 164

Venues

  1. The Journal of Chemical Physics

    5 publications · 473 citations

    5

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 202 citations

    4

    h-index

  3. Boundary-Layer Meteorology

    3 publications · 89 citations

    3

    h-index

  4. Stochastic Processes and their Applications

    2 publications · 126 citations

    2

    h-index

  5. The Annals of Applied Probability

    2 publications · 148 citations

    2

    h-index

1–5