Estimates of error correlations in kernel nonparametric regression are obtained using the method of moments. A high order asymptotic expansion of the estimators shows that they are consistent and asymptotically normal at parametric rates, and provides heuristics for the choice of bandwidth and kernel.
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty