Donsker's Theorem

Donsker's Theorem is a fundamental result in probability theory that establishes the weak convergence of scaled random walks to Brownian motion in the space of càdlàg functions, thereby providing a functional central limit theorem.

89

Publications

4.4K

Citations

125

Authors

94

Institutions

Publications per year

2017–2026

7

Variants

Donsker's Invariance Principle

Authors

125

  1. MT
    Michel Talagrand

    Sorbonne Université, France

    4 publications · 70 citations

    4

    h-index

  2. RM
    R. M. Dudley

    Massachusetts Institute of Technology, United States

    3 publications · 185 citations

    3

    h-index

  3. JZ
    Joel Zinn

    Aarhus University, Denmark

    2 publications · 93 citations

    2

    h-index

  4. RS
    Richard S. Ellis

    California Institute of Technology, United States

    2 publications · 485 citations

    2

    h-index

  5. HM
    H. Meté Soner

    Carnegie Mellon University, United States

    2 publications · 33 citations

    2

    h-index

1–5 of 125

Venues

  1. The Annals of Probability

    21 publications · 1.5K citations

    18

    h-index

  2. The Annals of Statistics

    4 publications · 344 citations

    4

    h-index

  3. The Annals of Mathematical Statistics

    3 publications · 118 citations

    3

    h-index

  4. 3

    h-index

  5. Stochastic Processes and their Applications

    3 publications · 92 citations

    3

    h-index

1–5