Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
Confidence regions for high quantiles of a heavy tailed distribution
Liang Peng
,
Yongcheng Qi
Mathematics & Statistics
Research output
:
Contribution to journal
›
Article
›
peer-review
26
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Confidence regions for high quantiles of a heavy tailed distribution'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Confidence Region
100%
Heavy-tailed Distribution
100%
High Quantile
100%
Tilting Method
66%
Risk Management
33%
Simulation Study
33%
Distribution Function
33%
Unknown Distribution
33%
Likelihood Ratio
33%
Normal Approximation
33%
Mathematics
Confidence Region
100%
Heavy-Tailed Distribution
100%
High Quantile
100%
Simulation Study
33%
Ratio Method
33%
Approximation Method
33%
Likelihood Ratio
33%
Distribution Function
33%
Computer Science
Risk Management
100%
Likelihood Ratio
100%
Simulation Study
100%
Normal Approximation
100%