Empirical Probability

Empirical Probability is the measure of the likelihood of an event occurring, defined as the ratio of the number of observed occurrences of the event to the total number of observed trials, derived from actual experimental or observational data rather than theoretical assumptions.

185

Publications

11.8K

Citations

417

Authors

239

Institutions

Publications per year

2017–2026

35

Variants

Experimental ProbabilityRelative Frequency

Authors

417

  1. GG
    Georgy Gimel’farb

    University of Auckland, New Zealand

    3 publications · 150 citations

    3

    h-index

  2. GK
    Gary King

    Harvard University Press, United States

    3 publications · 179 citations

    3

    h-index

  3. JC
    Joanne C. Rogan

    University of Manitoba, Canada

    3 publications · 131 citations

    3

    h-index

  4. AG
    Andrew Gelman

    Columbia University, United States

    3 publications · 179 citations

    3

    h-index

  5. AE
    Ayman El‐Baz

    University of Louisville, United States

    3 publications · 150 citations

    3

    h-index

1–5 of 417

Venues

  1. The Annals of Statistics

    9 publications · 671 citations

    9

    h-index

  2. 7

    h-index

  3. Management Science

    5 publications · 680 citations

    5

    h-index

  4. Water Resources Research

    4 publications · 168 citations

    4

    h-index

  5. The Annals of Probability

    4 publications · 391 citations

    4

    h-index

1–5