Characteristic Function Bounds
Characteristic Function Bounds is a theoretical framework in probability theory that specifies the tightest possible limits on the values of a characteristic function across its domain, thereby constraining the behavior of associated probability distributions through analytical inequalities derived from the function’s inherent properties.
194
Publications
9.7K
Citations
329
Authors
209
Institutions
Publications per year
2017–2026
20
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1–5 of 194
329
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209
Technion – Israel Institute of Technology
Haifa, Israel
4 h-index
13 publications
283 citations
University of Florence
Florence, Italy
3 h-index
3 publications
283 citations

McGill University
Montreal, Canada
3 h-index
4 publications
141 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
103 citations
Ben-Gurion University of the Negev
Beersheba, Israel
2 h-index
2 publications
37 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
3 publications
128 citations
Başkent University
Ankara, Türkiye
2 h-index
4 publications
148 citations

City, University of London
London, United Kingdom
2 h-index
2 publications
58 citations
1–8 of 209
7 publications · 399 citations
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6 publications · 95 citations
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6 publications · 147 citations
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6 publications · 1.1K citations
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6 publications · 215 citations
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