Brownian Snake

The Brownian Snake is a stochastic process in probability theory that extends Brownian motion by incorporating a path-valued process which records the historical evolution of a branching particle system, thereby distinguishing it from standard diffusion processes through its ability to model genealogical relationships in continuous random trees.

17

Publications

938

Citations

16

Authors

20

Institutions

Publications per year

2017–2026

1

Authors

16

  1. JL
    Jean‐François Le Gall

    Université Paris-Sud, France

    3 publications · 134 citations

    3

    h-index

  2. LS
    Laurent Serlet

    Université Paris Cité, France

    2 publications · 36 citations

    2

    h-index

  3. RA
    Romain Abraham

    Université d'Orléans, France

    2 publications · 64 citations

    2

    h-index

  4. JD
    Jean‐Stéphane Dhersin

    Université Paris Cité, France

    2 publications · 39 citations

    2

    h-index

  5. JD
    Jean‐François Delmas

    CERMICS, France

    2 publications · 43 citations

    2

    h-index

1–5 of 16

Venues

  1. Probability Theory and Related Fields

    3 publications · 138 citations

    3

    h-index

  2. The Annals of Probability

    2 publications · 64 citations

    2

    h-index

  3. Canadian Journal of Mathematics

    2 publications · 42 citations

    2

    h-index

  4. The Annals of Applied Probability

    1 publications · 10 citations

    1

    h-index

  5. 1

    h-index

1–5