Marked Poisson Process

A Marked Poisson Process is a stochastic process in which events occur according to a Poisson process and each event is associated with an additional random variable, termed a mark, drawn independently from a specified mark distribution, thereby extending the standard Poisson process by encoding supplementary information at each event time.

35

Publications

3.3K

Citations

69

Authors

51

Institutions

Publications per year

2017–2026

3

Authors

69

  1. RN
    Ragnar Norberg

    University of Copenhagen, Denmark

    2 publications · 285 citations

    2

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  2. LR
    Luca Ridolfi

    Politecnico di Torino, Italy

    2 publications · 613 citations

    2

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  3. IR
    I. Rodriguez‐Iturbe

    Princeton University, United States

    2 publications · 613 citations

    2

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  4. JM
    Jesper Møller

    Aalborg University, Denmark

    2 publications · 66 citations

    2

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  5. HP
    Hock Peng Chan

    National University of Singapore, Singapore

    2 publications · 43 citations

    2

    h-index

1–5 of 69

Venues

  1. Journal of Applied Probability

    JAP · 3 publications · 46 citations

    3

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  2. Astin Bulletin

    3 publications · 310 citations

    3

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  3. 2

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  4. 2

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  5. Scandinavian Journal of Statistics

    1 publications · 44 citations

    1

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