Pages that link to "Item:Q3721614"
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The following pages link to Asymptotic theory of minimum integrated square error for multivariate density estimation (Q3721614):
Displaying 13 items.
- Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation (Q1073495) (← links)
- Cross-validation and the smoothing of orthogonal series density estimators (Q1089698) (← links)
- Estimating the direction in which a data set is most interesting (Q1098512) (← links)
- On the use of compactly supported density estimates in problems of discrimination (Q1110948) (← links)
- Minimizing \(L_ 1\) distance in nonparametric density estimation (Q1120929) (← links)
- A local cross-validation algorithm (Q1122896) (← links)
- Exact mean integrated squared error (Q1194535) (← links)
- Asymptotic distribution for a discrete version of integrated square error of multivariate density kernel estimators (Q1299479) (← links)
- Smooth estimation of multivariate survival and density functions (Q1600730) (← links)
- Inequalities for mean squared error of multidimensional kernel density estimations (Q1759066) (← links)
- Convergence properties of an empirical error criterion for multivariate density estimation (Q1821451) (← links)
- Adapting the classical kernel density estimator to data (Q1896131) (← links)
- Asymptotic properties of integrated square error and cross-validation for kernel estimation of a regression function (Q3219573) (← links)