Jensen's Inequality

Jensen's Inequality is a fundamental theorem in probability theory stating that, for a convex function, the expected value of the function of a random variable is at least the function of the expected value of the random variable, with the inequality reversed for concave functions.

585

Publications

25.4K

Citations

861

Authors

466

Institutions

Publications per year

2017–2026

144

Variants

Jensen Inequality

Authors

861

  1. ‎P
    ‎Josip Pečarić

    University of Zagreb, Croatia

    69 publications · 1.7K citations

    23

    h-index

  2. SS
    Sever S Dragomir

    Victoria University, Australia

    31 publications · 1.1K citations

    21

    h-index

  3. MA
    Muhammad Adil Khan

    University of Peshawar, Pakistan

    30 publications · 887 citations

    19

    h-index

  4. YC
    Yu‐Ming Chu

    Huzhou University, China

    17 publications · 751 citations

    14

    h-index

  5. SI
    Saad Ihsan Butt

    COMSATS University Islamabad, Pakistan

    13 publications · 405 citations

    13

    h-index

1–5 of 861

Venues

  1. Journal of Inequalities and Applications

    41 publications · 1.4K citations

    19

    h-index

  2. 16

    h-index

  3. Journal of Mathematical Inequalities

    JMI · 24 publications · 507 citations

    14

    h-index

  4. Mathematical Inequalities & Applications

    MIA · 15 publications · 428 citations

    14

    h-index

  5. Mathematics

    11 publications · 321 citations

    11

    h-index

1–5