Model selection of copulas: AIC versus a cross validation copula information criterion

被引:36
作者
Jordanger, Lars Arne [1 ]
Tjostheim, Dag [1 ]
机构
[1] Univ Bergen, Dept Math, N-5020 Bergen, Norway
关键词
Model selection; AIC; Copula information criterion; CIC; Pseudo-observations;
D O I
10.1016/j.spl.2014.06.006
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Akaike Information Criterion (AIC) is frequently employed in the semiparametric setting of selection of copula models, even though as a model selection tool it was developed in a parametric setting. Recently a Copula Information Criterion (CIC) has been especially designed for copula model selection. In this paper we examine the two approaches and present a simulation study where the performance of a cross-validated version of CIC is compared with the AIC criterion. Only minor differences are observed. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:249 / 255
页数:7
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