Robust and bias-corrected estimation of the coefficient of tail dependence

MAP20140029044
Robust and bias-corrected estimation of the coefficient of tail dependence / Christophe Dutang, Yuri Goegebeur, Armelle Guillou
Sumario: We introduce a robust and asymptotically unbiased estimator for the coefficient of tail dependence in multivariate extreme value statistics. The estimator is obtained by fitting a second order model to the data by means of the minimum density power divergence criterion. The asymptotic properties of the estimator are investigated. The efficiency of our methodology is illustrated on a small simulation study and by a real dataset from the actuarial context
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