Compound Point Processes

Compound Point Processes is a stochastic process that extends a simple point process by associating each random point with a non-negative random variable representing a mark or jump size, thereby generating a cumulative sum process over time.

16

Publications

542

Citations

22

Authors

18

Institutions

Publications per year

2017–2026

0

Variants

Marked Point Processes

Authors

22

  1. TC
    Timothy C. Brown

    The University of Melbourne, Australia

    2 publications · 82 citations

    2

    h-index

  2. VI
    Valerie Isham

    University College London, United Kingdom

    2 publications · 31 citations

    2

    h-index

  3. JH
    Jewgeni H. Dshalalow

    Florida Institute of Technology, United States

    2 publications · 27 citations

    2

    h-index

  4. OK
    Olav Kallenberg

    Auburn University, United States

    2 publications · 77 citations

    2

    h-index

  5. MS
    Mauricio Sánchez‐Silva

    Universidad de Los Andes, Colombia

    1 publications · 10 citations

    1

    h-index

1–5 of 22

Venues

  1. Journal of Applied Probability

    JAP · 4 publications · 108 citations

    4

    h-index

  2. International Journal of Stochastic Analysis

    IJSA · 1 publications · 14 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Computational Neuroscience

    1 publications · 26 citations

    1

    h-index

  5. Ecological Modelling

    1 publications · 14 citations

    1

    h-index

1–5