Time-changed Processes

Time-Changed Processes is a stochastic process formed by altering the time parameter of a base process through a random, non-decreasing, right-continuous transformation, thereby inducing a new temporal structure while preserving the intrinsic dynamics of the original process.

53

Publications

4.1K

Citations

109

Authors

99

Institutions

Publications per year

2017–2026

9

Authors

109

  1. MM
    Mark M. Meerschaert

    Michigan State University, United States

    4 publications · 111 citations

    4

    h-index

  2. PC
    Peter Carr

    New York University, United States

    3 publications · 848 citations

    3

    h-index

  3. AW
    Agnieszka Wyłomańska

    Wrocław University of Science and Technology, Poland

    3 publications · 90 citations

    3

    h-index

  4. RM
    Rafael Mendoza‐Arriaga

    The University of Texas at Austin, United States

    3 publications · 157 citations

    3

    h-index

  5. KG
    Kay Giesecke

    Stanford University, United States

    2 publications · 109 citations

    2

    h-index

1–5 of 109

Venues

  1. SSRN Electronic Journal

    Repository · 4 publications · 175 citations

    4

    h-index

  2. Journal of Theoretical Probability

    3 publications · 166 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 27 citations

    2

    h-index

  4. Stochastic Analysis and Applications

    2 publications · 78 citations

    2

    h-index

  5. The Annals of Probability

    2 publications · 196 citations

    2

    h-index

1–5