1 citations · 2 across the 3 of their papers we have counts for
4 papers
One-Sided Cross-Validation for Nonsmooth Density Functions
Olga Y. Savchuk
One-sided cross-validation (OSCV) is a bandwidth selection method initially introduced by Hart and Yi (1998) in the context of smooth regression functions. Mart\'ınez-Miranda et al…
Theoretical Properties and Practical Performance of Fully Robust One-Sided Cross-Validation
Olga Y. Savchuk, Jeffrey D. Hart
Fully robust OSCV is a modification of the OSCV method that produces consistent bandwidth in the cases of smooth and nonsmooth regression functions. The current implementation of t…
Empirical study of indirect cross-validation
Olga Y. Savchuk, Jeffrey D. Hart, Simon J. Sheather
In this paper we provide insight into the empirical properties of indirect cross-validation (ICV), a new method of bandwidth selection for kernel density estimators. First, we desc…
Indirect Cross-validation for Density Estimation
Olga Y. Savchuk, Jeffrey D. Hart, Simon J. Sheather
A new method of bandwidth selection for kernel density estimators is proposed. The method, termed indirect cross-validation, or ICV, makes use of so-called selection kernels. Least…