New Bandwidth Selection for Kernel Quantile Estimators
New Bandwidth Selection for Kernel Quantile Estimators
We propose a cross-validation method suitable for smoothing of kernel quantile estimators. In particular, our proposed method selects the bandwidth parameter, which is known to play a crucial role in kernel smoothing, based on unbiased estimation of a mean integrated squared error curve of which the minimising value determines an …