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arXiv: 1709.04285
AbstractWe study the asymptotic behavior of the marginal expected shortfall when the two random variables are asymptotic independent but positively associated, which is modeled by the so‐called tail dependent coefficient. We construct an estimator of the marginal expected shortfall, which is shown to be asymptotically normal. The finite sample performance of the estimator is investigated in a small simulation study. The method is also applied to estimate the expected amount of rainfall at a weather station given that there is a once every 100 years rainfall at another weather station nearby.
tail dependence coefficient, Science & Technology, Statistics & Probability, Estimation in multivariate analysis, 0104 Statistics, marginal expected shortfall, Mathematics - Statistics Theory, SDG 10 - Reduced Inequalities, Statistics Theory (math.ST), MULTIVARIATE, EXTREMES, 4905 Statistics, DEPENDENCE, Physical Sciences, FOS: Mathematics, asymptotic independence, Applications of statistics to environmental and related topics, Mathematics
tail dependence coefficient, Science & Technology, Statistics & Probability, Estimation in multivariate analysis, 0104 Statistics, marginal expected shortfall, Mathematics - Statistics Theory, SDG 10 - Reduced Inequalities, Statistics Theory (math.ST), MULTIVARIATE, EXTREMES, 4905 Statistics, DEPENDENCE, Physical Sciences, FOS: Mathematics, asymptotic independence, Applications of statistics to environmental and related topics, Mathematics
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