Multivariate Central Limit Theorem

The Multivariate Central Limit Theorem is a fundamental theorem in probability theory stating that the normalized sum of a sufficiently large number of independent and identically distributed random vectors converges in distribution to a multivariate normal distribution.

254

Publications

19.1K

Citations

400

Authors

244

Institutions

Publications per year

2017–2026

33

Variants

Multivariate Clt

Authors

400

  1. ZB
    Zhidong Bai

    Northeast Normal University, China

    7 publications · 1.2K citations

    7

    h-index

  2. CT
    Christoph Thäle

    Ruhr University Bochum, Germany

    4 publications · 138 citations

    4

    h-index

  3. NH
    Norbert Henze

    Karlsruhe Institute of Technology, Germany

    4 publications · 802 citations

    4

    h-index

  4. FG
    Friedrich Götze

    Bielefeld University, Germany

    4 publications · 416 citations

    4

    h-index

  5. YY
    Yanqing Yin

    University of Pittsburgh, United States

    4 publications · 972 citations

    4

    h-index

1–5 of 400

Venues

  1. Journal of Multivariate Analysis

    35 publications · 2.4K citations

    22

    h-index

  2. The Annals of Statistics

    17 publications · 3.6K citations

    15

    h-index

  3. Statistics & Probability Letters

    13 publications · 346 citations

    11

    h-index

  4. Biometrika

    7 publications · 564 citations

    7

    h-index

  5. Probability Theory and Related Fields

    7 publications · 521 citations

    7

    h-index

1–5