High Quantile Estimation
High Quantile Estimation is a statistical methodology within extreme value theory that specifically addresses the estimation of quantiles in the upper tail of a distribution, where the focus is on accurately characterizing rare and extreme events beyond typical sample observations.
115
Publications
5.7K
Citations
243
Authors
185
Institutions
Publications per year
2017–2026
44
Parents
115
1–5 of 115
243
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185
University of Lisbon
Lisbon, Portugal
7 h-index
12 publications
571 citations
ETH Zurich
Zurich, Switzerland
6 h-index
12 publications
895 citations
Swiss Finance Institute
Zurich, Switzerland
4 h-index
4 publications
141 citations
Fudan University
Shanghai, China
4 h-index
4 publications
192 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
4 h-index
6 publications
558 citations

Amrita Vishwa Vidyapeetham
Coimbatore, India
2 h-index
2 publications
147 citations
Bahauddin Zakariya University
Multan, Pakistan
2 h-index
2 publications
94 citations
Sunway University
Petaling Jaya, Malaysia
2 h-index
2 publications
81 citations
1–8 of 185
9 publications · 464 citations
9
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4 publications · 386 citations
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3 publications · 44 citations
3
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3 publications · 216 citations
3
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Repository · 3 publications · 53 citations
3
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1–5