Random Counting Processes

Random Counting Processes is a stochastic process that models the accumulation of discrete events over time, distinguished by the randomness in the timing and occurrence of events, commonly exemplified by phenomena such as Poisson processes in the analysis of counting statistics.

79

Publications

4.3K

Citations

123

Authors

77

Institutions

Publications per year

2017–2026

6

Authors

123

  1. RD
    Richard D. Gill

    Joint European Torus, United Kingdom

    5 publications · 571 citations

    5

    h-index

  2. PK
    Per Kragh Andersen

    University of Copenhagen, Denmark

    4 publications · 556 citations

    4

    h-index

  3. ØB
    Ørnulf Borgan

    University of Oslo, Norway

    5 publications · 585 citations

    3

    h-index

  4. LT
    L Takács

    Charles University, Czechia

    3 publications · 107 citations

    3

    h-index

  5. NK
    Niels Keiding

    University of Copenhagen, Denmark

    3 publications · 537 citations

    3

    h-index

1–5 of 123

Venues

  1. Journal of Applied Probability

    JAP · 7 publications · 644 citations

    7

    h-index

  2. Scandinavian Actuarial Journal

    4 publications · 116 citations

    4

    h-index

  3. The Annals of Statistics

    3 publications · 1.5K citations

    3

    h-index

  4. Stochastic Processes and their Applications

    3 publications · 44 citations

    3

    h-index

  5. Advances in Applied Probability

    AAP · 3 publications · 83 citations

    3

    h-index

1–5