Functional Central Limit Theorems

Functional Central Limit Theorems is a theoretical framework in probability theory that characterizes the weak convergence of rescaled random walks to a continuous Gaussian process, specifically Brownian motion, in the space of cadlag functions endowed with the Skorokhod topology.

423

Publications

30.1K

Citations

538

Authors

374

Institutions

Publications per year

2017–2026

45

Authors

538

  1. PW
    Peter W. Glynn

    Stanford University, United States

    9 publications · 812 citations

    9

    h-index

  2. MP
    Magda Peligrad

    University of Cincinnati, United States

    7 publications · 232 citations

    7

    h-index

  3. WW
    Ward Whitt

    AT&T (United States), United States

    7 publications · 528 citations

    7

    h-index

  4. GP
    Guodong Pang

    Pennsylvania State University, United States

    6 publications · 98 citations

    6

    h-index

  5. JD
    James Davidson

    Cardiff University, United Kingdom

    5 publications · 696 citations

    5

    h-index

1–5 of 538

Venues

  1. The Annals of Probability

    46 publications · 3.7K citations

    32

    h-index

  2. Advances in Applied Probability

    AAP · 26 publications · 1.1K citations

    16

    h-index

  3. The Annals of Applied Probability

    17 publications · 887 citations

    15

    h-index

  4. Stochastic Processes and their Applications

    22 publications · 863 citations

    14

    h-index

  5. Probability Theory and Related Fields

    12 publications · 510 citations

    12

    h-index

1–5