Random Measures On Function Spaces

Random Measures On Function Spaces is a stochastic process that assigns random probability distributions to functions by endowing a space of functions with a measure-valued random variable, thereby generalizing Bayesian nonparametric priors to infinite-dimensional settings.

15

Publications

610

Citations

18

Authors

8

Institutions

Publications per year

2017–2026

2

Authors

18

  1. JY
    J. Yeh

    University of California, Irvine, United States

    1 publications · 52 citations

    1

    h-index

  2. NJ
    Nigel J. Cutland

    University of Hull, United Kingdom

    1 publications · 154 citations

    1

    h-index

  3. SC
    Stamatis Cambanis

    University of North Carolina at Chapel Hill, United States

    1 publications · 39 citations

    1

    h-index

  4. DA
    David Aldous

    University of California, Berkeley, United States

    1 publications · 21 citations

    1

    h-index

  5. FB
    François Baccelli

    Institut national de recherche en sciences et technologies du numérique, France

    1 publications · 20 citations

    1

    h-index

1–5 of 18

Venues

  1. Theory of Probability and Its Applications

    2 publications · 23 citations

    2

    h-index

  2. Inventiones mathematicae

    1 publications · 38 citations

    1

    h-index

  3. The Annals of Mathematical Statistics

    1 publications · 39 citations

    1

    h-index

  4. Bulletin of the London Mathematical Society

    1 publications · 154 citations

    1

    h-index

  5. American Journal of Mathematics

    1 publications · 73 citations

    1

    h-index

1–5