Random Measures

Random Measures is a stochastic process that assigns a random non-negative value to each set in a given measurable space, distinguishing itself by modeling the random distribution of mass or intensity over measurable subsets in the context of jump processes.

272

Publications

16.1K

Citations

361

Authors

257

Institutions

Publications per year

2017–2026

37

Authors

361

  1. AL
    Antonio Lijoi

    University of Pavia, Italy

    10 publications · 717 citations

    10

    h-index

  2. IP
    Igor Prünster

    University of Pavia, Italy

    9 publications · 702 citations

    9

    h-index

  3. RR
    Rémi Rhodes

    Université Paris Dauphine-PSL, France

    6 publications · 326 citations

    6

    h-index

  4. JB
    Jérémie Bigot

    Institut de Mathématiques de Toulouse, France

    6 publications · 189 citations

    6

    h-index

  5. PM
    Petar M. Djurić

    Stony Brook University, United States

    5 publications · 1.8K citations

    5

    h-index

1–5 of 361

Venues

  1. The Annals of Probability

    19 publications · 764 citations

    13

    h-index

  2. Advances in Applied Probability

    AAP · 14 publications · 541 citations

    13

    h-index

  3. The Annals of Applied Probability

    11 publications · 496 citations

    11

    h-index

  4. Theory of Probability and Its Applications

    7 publications · 132 citations

    7

    h-index

  5. arXiv (Cornell University)

    Repository · 7 publications · 185 citations

    7

    h-index

1–5