In this note we present νth-order kernel density derivative estimators using canonical higher-order kernels. These canonical rescalings uncouple the choice of kernel and scale factor. This approach is useful for selection of the order of the kernel in a data-driven procedure as well as for visual comparison of kernel estimates.
- Derivative estimation
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty