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第13号 >
Estimators of Bivariate Extreme Value Copulas
Title: | Estimators of Bivariate Extreme Value Copulas |
Authors: | Suzukawa, Akio Browse this author →KAKEN DB |
Keywords: | bivariate exponential distribution | extreme value distribution | Pickands dependence | function |
Issue Date: | 2019 |
Publisher: | 北海道大学公共政策大学院 |
Journal Title: | 年報 公共政策学 |
Journal Title(alt): | Annals, Public Policy Studies |
Volume: | 13 |
Start Page: | 117 |
End Page: | 144 |
Abstract: | Extreme value copulas are the limiting copulas of component-wise maxima. A bivariate extreme value copulas can be represented by a convex function called Pickands dependence function. In this paper we consider nonparametric estimation of the Pickands dependence function. Several estimators have been proposed. They can be classified into two types: Pickands-type estimators and Caperaa-Fougeres-Genest-type estimators. We propose a new class of estimators, which contains these two types of estimators. Asymptotic properties of the estimators are investigated, and asymptotic efficiencies of them are discussed under Marshall-Olkin copulas. |
Type: | bulletin (article) |
URI: | http://hdl.handle.net/2115/74429 |
Appears in Collections: | 年報 公共政策学 = Annals, public policy studies > 第13号
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