Probability Inequalities

Probability Inequalities is a fundamental concept in Probability Theory that refers to a class of mathematical statements providing upper or lower bounds on the probabilities of events or the tails of distributions, distinguished from exact probability computations by their focus on bounding probabilistic quantities under minimal assumptions.

6.2K

Publications

316.9K

Citations

6.3K

Authors

2.1K

Institutions

Publications per year

2017–2026

758

Authors

6.3K

  1. YC
    Yu‐Ming Chu

    Huzhou University, China

    93 publications · 4.2K citations

    38

    h-index

  2. FQ
    Feng Qi

    Henan Polytechnic University, China

    83 publications · 2.5K citations

    32

    h-index

  3. SS
    Sever S Dragomir

    Victoria University, Australia

    78 publications · 3.2K citations

    29

    h-index

  4. ‎P
    ‎Josip Pečarić

    University of Zagreb, Croatia

    99 publications · 3K citations

    28

    h-index

  5. SG
    Sergey G. Bobkov

    University of Minnesota, United States

    24 publications · 1.5K citations

    19

    h-index

1–5 of 6.3K

Venues

  1. The Annals of Probability

    206 publications · 16.6K citations

    69

    h-index

  2. IEEE Transactions on Information Theory

    154 publications · 12.2K citations

    57

    h-index

  3. The Annals of Mathematical Statistics

    98 publications · 9.5K citations

    48

    h-index

  4. Journal of Mathematical Analysis and Applications

    226 publications · 8.3K citations

    45

    h-index

  5. Proceedings of the American Mathematical Society

    PROC · 127 publications · 5.4K citations

    37

    h-index

1–5