Jump Distributions

Jump Distributions is a probability distribution model that characterizes the behavior of stochastic processes with discontinuous state transitions by specifying the magnitude and frequency of abrupt changes, or "jumps," in the process trajectory.

161

Publications

9.2K

Citations

329

Authors

240

Institutions

Publications per year

2017–2026

35

Authors

329

  1. SN
    Satya N. Majumdar

    Centre National de la Recherche Scientifique, France

    9 publications · 584 citations

    9

    h-index

  2. GS
    Grégory Schehr

    Centre National de la Recherche Scientifique, France

    8 publications · 558 citations

    8

    h-index

  3. FB
    Floyd B. Hanson

    University of Illinois Chicago, United States

    3 publications · 71 citations

    3

    h-index

  4. RM
    Ralf Metzler

    University of Potsdam, Germany

    3 publications · 601 citations

    3

    h-index

  5. RB
    Ranjit Biswas

    S.N. Bose National Centre for Basic Sciences, India

    3 publications · 168 citations

    3

    h-index

1–5 of 329

Venues

  1. Physical Review E

    PRE · 8 publications · 449 citations

    8

    h-index

  2. Journal of Applied Probability

    JAP · 6 publications · 205 citations

    6

    h-index

  3. Physical Review Letters

    PRL · 5 publications · 503 citations

    5

    h-index

  4. 5

    h-index

  5. 5

    h-index

1–5