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
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25.4K
Citations
861
Authors
466
Institutions
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2017–2026
144
Variants
Jensen Inequality
Parents
585
Log-concave probability and its applications
Mark Bagnoli, Ted Bergstrom · Economic Theory · 2004 · 1.1K citations
Distribution Function Inequalities for Martingales
D. L. Burkholder · The Annals of Probability · 1973 · 828 citations · Full text
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COMSATS University Islamabad
Islamabad, Pakistan
18 h-index
45 publications
1.3K citations

University of Peshawar
Peshawar, Pakistan
18 h-index
48 publications
1.5K citations

University of Zagreb
Zagreb, Croatia
16 h-index
46 publications
1.3K citations
Huzhou University
Huzhou, China
14 h-index
19 publications
760 citations

Victoria University
Melbourne, Australia
14 h-index
22 publications
781 citations

Government College University, Lahore
Lahore, Pakistan
13 h-index
30 publications
623 citations

University of Split
Split, Croatia
11 h-index
17 publications
528 citations

King Abdulaziz University
Jeddah, Saudi Arabia
11 h-index
14 publications
336 citations
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41 publications · 1.4K citations
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JMI · 24 publications · 507 citations
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MIA · 15 publications · 428 citations
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11 publications · 321 citations
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