Pure-jump Processes

Pure-Jump Processes is a type of stochastic process within the class of Lévy Processes distinguished by the absence of a continuous Gaussian component, consisting exclusively of discontinuous jumps whose increments are governed by a Lévy measure supported on the entire real line excluding zero.

143

Publications

8.2K

Citations

210

Authors

157

Institutions

Publications per year

2017–2026

19

Authors

210

  1. VT
    Viktor Todorov

    Northwestern University, United States

    8 publications · 430 citations

    8

    h-index

  2. GT
    George Tauchen

    Duke University, United States

    7 publications · 449 citations

    7

    h-index

  3. PJ
    Peter J. Brockwell

    Colorado State University, United States

    5 publications · 90 citations

    5

    h-index

  4. HG
    Hélyette Geman

    École Supérieure des Sciences Économiques et Commerciales, France

    5 publications · 2.4K citations

    5

    h-index

  5. DB
    Dilip B. Madan

    University of Maryland, College Park, United States

    5 publications · 2.3K citations

    5

    h-index

1–5 of 210

Venues

  1. Journal of Applied Probability

    JAP · 11 publications · 255 citations

    11

    h-index

  2. The Annals of Probability

    9 publications · 326 citations

    9

    h-index

  3. SSRN Electronic Journal

    Repository · 9 publications · 209 citations

    9

    h-index

  4. Stochastic Processes and their Applications

    8 publications · 177 citations

    8

    h-index

  5. The Annals of Statistics

    5 publications · 230 citations

    5

    h-index

1–5