Continuous Mapping Theorem

The Continuous Mapping Theorem is a fundamental result in probability theory stating that convergence in distribution of a sequence of random variables is preserved under continuous measurable mappings, provided the limit variables almost surely lie in the continuity set of the mapping.

94

Publications

7.4K

Citations

127

Authors

56

Institutions

Publications per year

2017–2026

5

Variants

Mann-wald Theorem

Authors

127

  1. YS
    Yunkang Sui

    Beijing University of Technology, China

    4 publications · 79 citations

    4

    h-index

  2. WW
    Ward Whitt

    AT&T (United States), United States

    4 publications · 486 citations

    4

    h-index

  3. WA
    W. A. Kirk

    University of Iowa, United States

    2 publications · 198 citations

    2

    h-index

  4. WF
    William F. Eddy

    Carnegie Mellon University, United States

    2 publications · 52 citations

    2

    h-index

  5. BF
    Brian Fisher

    Simon Fraser University, Canada

    2 publications · 31 citations

    2

    h-index

1–5 of 127

Venues

  1. Proceedings of the American Mathematical Society

    PROC · 12 publications · 334 citations

    11

    h-index

  2. Pacific Journal of Mathematics

    6 publications · 673 citations

    6

    h-index

  3. The Annals of Applied Probability

    4 publications · 176 citations

    4

    h-index

  4. Mathematics of Operations Research

    3 publications · 448 citations

    3

    h-index

  5. Journal of Applied Probability

    JAP · 3 publications · 95 citations

    3

    h-index

1–5