Time-changed Diffusions

Time-Changed Diffusions is a diffusion process in which the standard temporal evolution is altered through a stochastic time change, typically governed by a random clock or an increasing Lévy process, thereby generalizing classical diffusion dynamics to capture anomalous or irregular time scaling observed in complex systems.

22

Publications

1.5K

Citations

44

Authors

38

Institutions

Publications per year

2017–2026

7

Authors

44

  1. JY
    Jiangang Ying

    Fudan University, China

    2 publications · 39 citations

    2

    h-index

  2. VL
    Vadim Linetsky

    Northwestern University, United States

    2 publications · 194 citations

    2

    h-index

  3. MM
    Mark M. Meerschaert

    Michigan State University, United States

    2 publications · 28 citations

    2

    h-index

  4. KK
    Kei Kobayashi

    Tokyo Institute of Technology, Japan

    2 publications · 93 citations

    2

    h-index

  5. PC
    Peter Carr

    New York University, United States

    2 publications · 829 citations

    2

    h-index

1–5 of 44

Venues

  1. Journal of Theoretical Probability

    2 publications · 72 citations

    2

    h-index

  2. The Annals of Probability

    2 publications · 39 citations

    2

    h-index

  3. Mathematical Finance

    2 publications · 194 citations

    2

    h-index

  4. 1

    h-index

  5. European Journal of Operational Research

    1 publications · 55 citations

    1

    h-index

1–5