Probability Kernels

A Probability Kernels is a measurable function from a measurable space to the space of probability measures on another measurable space, assigning to each point in the source space a probability measure on the target space in a way that preserves measurability with respect to the source variable.

18

Publications

854

Citations

37

Authors

22

Institutions

Publications per year

2017–2026

2

Variants

Stochastic KernelsTransition Kernels

Authors

37

  1. AÁ
    Aitor Álvarez

    Vicomtech, Spain

    1 publications · 15 citations

    1

    h-index

  2. OB
    Olivier Bousquet

    Météo-France, France

    1 publications · 134 citations

    1

    h-index

  3. AB
    Antoni B. Chan

    City University of Hong Kong, Hong Kong SAR China

    1 publications · 47 citations

    1

    h-index

  4. MP
    Mikel Peñagarikano

    University of the Basque Country, Spain

    1 publications · 15 citations

    1

    h-index

  5. RM
    Richard Madsen

    University of Missouri, United States

    1 publications · 42 citations

    1

    h-index

1–5 of 37

Venues

  1. The Annals of Probability

    3 publications · 254 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 26 citations

    2

    h-index

  3. Proceedings of the American Mathematical Society

    PROC · 1 publications · 19 citations

    1

    h-index

  4. IEEE Transactions on Image Processing

    1 publications · 112 citations

    1

    h-index

  5. Studia Mathematica

    1 publications · 10 citations

    1

    h-index

1–5