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Unified Extreme Value Estimation for Heterogeneous Data
John Einmahl
, Y. He
Econometrics and OR
Research Group: Econometrics
Research output
:
Working paper
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Discussion paper
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Other research output
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Dive into the research topics of 'Unified Extreme Value Estimation for Heterogeneous Data'. Together they form a unique fingerprint.
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Keyphrases
Power Law
100%
Heterogeneous Data
100%
Extreme Value Estimation
100%
Empirical Distribution Function
66%
Extreme Value Index
66%
Empirical Power
66%
Econometrics
33%
Extreme Value Theory
33%
Marginal Distribution
33%
Scale Parameter
33%
Hill Estimator
33%
Dependence Structure
33%
Heavy-tailed Distribution
33%
Extreme Quantile
33%
Parameter Heterogeneity
33%
COVID-19 Mortality
33%
International Inequality
33%
Country Scale
33%
Distribution Approach
33%
COVID-19 Cases
33%
Mathematics
Extreme Value
100%
Power Law
100%
Extreme Value Index
66%
Extreme Value Theory
33%
Marginal Distribution
33%
Scale Parameter
33%
hill estimator α
33%
Dependence Structure
33%
Heavy-Tailed Distribution
33%
Quantile
33%
Economics, Econometrics and Finance
Extreme Value
100%
Value Theory
25%