JSM 2004 - Toronto

Abstract #301303

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Activity Number: 188
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract - #301303
Title: On Geometric Conditional Quantiles
Author(s): Jan G. De Gooijer*+
Companies: University of Amsterdam
Address: Roetersstraat 11, Amsterdam, 1018 WB, Netherlands
Keywords: asymptotic normality ; Bahadur representation ; confidence ellipsoids ; conditional geometric quantile ; kernel function
Abstract:

Motivated by Chaudhuri's work (1996) on unconditional geometric quantiles, we explore the asymptotic properties of sample conditional geometric quantiles, defined through kernel functions, in high dimensional spaces. First, we establish a Bahadur-type linear representation for the conditional quantile estimator. Also we obtain the convergence rate of the remainder term in this representation. Using these results, we prove that the estimated conditional geometric quantile is asymptotically normally distributed. Based on these results we propose confidence ellipsoids for multivariate conditional quantiles. These ellipsoids are shown to have asymptotically good coverage properties and to behave well in finite-sample situations. The methodology is illustrated via data analysis and a Monte Carlo study.


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