TITLE:
Asymptotic Confidence Bands for Copulas Based on the Local Linear Kernel Estimator
AUTHORS:
Diam Bâ, Cheikh Tidiane Seck, Gane Samb Lô
KEYWORDS:
Copula Function, Kernel Estimation, Local Linear Estimator, Uniform in Bandwidth Consistency, Simultaneous Confidence Bands
JOURNAL NAME:
Applied Mathematics,
Vol.6 No.12,
November
25,
2015
ABSTRACT: In this paper, we establish asymptotically optimal simultaneous confidence bands for the copula function based on the local linear kernel estimator proposed by Chen and Huang [1]. For this, we prove under smoothness conditions on the derivatives of the copula a uniform in bandwidth law of the iterated logarithm for the maximal deviation of this estimator from its expectation. We also show that the bias term converges uniformly to zero with a precise rate. The performance of these bands is illustrated by a simulation study. An application based on pseudo-panel data is also provided for modeling the dependence structure of Senegalese households’ expense data in 2001 and 2006.