Random Vector Characteristic Functions

Random Vector Characteristic Functions is a mathematical construct in probability theory that uniquely characterizes the joint distribution of a random vector by defining the expected value of the complex exponential of its linear transformation, thereby extending the notion of a scalar characteristic function to multivariate settings.

18

Publications

723

Citations

32

Authors

23

Institutions

Publications per year

2017–2026

2

Authors

32

  1. SG
    Simos G. Meintanis

    National and Kapodistrian University of Athens, Greece

    1 publications · 25 citations

    1

    h-index

  2. NH
    Norbert Henze

    Karlsruhe Institute of Technology, Germany

    1 publications · 25 citations

    1

    h-index

  3. IB
    I. Berkés

    University of Utah, United States

    1 publications · 302 citations

    1

    h-index

  4. DS
    D. S. Tracy

    University of Windsor, Canada

    1 publications · 11 citations

    1

    h-index

  5. YA
    Yu. A. Rozanov

    Steklov Mathematical Institute, Russia

    1 publications · 28 citations

    1

    h-index

1–5 of 32

Venues

  1. Theory of Probability and Its Applications

    2 publications · 82 citations

    2

    h-index

  2. Naval Research Logistics Quarterly

    1 publications · 45 citations

    1

    h-index

  3. The Annals of Statistics

    1 publications · 33 citations

    1

    h-index

  4. Electronic Journal of Probability

    EJP · 1 publications · 23 citations

    1

    h-index

  5. 1

    h-index

1–5