Large Deviations for a Test of Symmetry based on Kernel Density Estimator in R^d

Let be a non-parametric kernel density estimator based on a kernel function and a sequence of independent and identically distributed random variables taking values in . The goal of this article is to extend the large deviations results in He and Gao (2008), i.e., to prove large deviations for the statistic .