Multivariate Point Processes

Multivariate Point Processes is a stochastic process that models the random occurrence of multiple types of events in time or space, distinguished from univariate point processes by incorporating jointly distributed event sequences across different event categories.

144

Publications

10.7K

Citations

253

Authors

174

Institutions

Publications per year

2017–2026

20

Authors

253

  1. JM
    Jorge Mateu

    Universitat Jaume I, Spain

    5 publications · 108 citations

    5

    h-index

  2. AF
    Alan F. Karr

    National Institute of Statistical Sciences, United States

    5 publications · 784 citations

    5

    h-index

  3. RF
    Richard F. Serfozo

    Georgia Institute of Technology, United States

    3 publications · 411 citations

    3

    h-index

  4. PL
    Peter Lewis

    Naval Postgraduate School, United States

    3 publications · 308 citations

    3

    h-index

  5. VS
    Victor Solo

    UNSW Sydney, Australia

    3 publications · 39 citations

    3

    h-index

1–5 of 253

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 426 citations

    9

    h-index

  2. Journal of Applied Probability

    JAP · 6 publications · 546 citations

    6

    h-index

  3. SSRN Electronic Journal

    Repository · 4 publications · 311 citations

    4

    h-index

  4. 4

    h-index

  5. Technometrics

    3 publications · 192 citations

    3

    h-index

1–5