Pages that link to "Item:Q1314730"
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The following pages link to Hellinger distance and Kullback-Leibler loss for the kernel density estimator (Q1314730):
Displaying 10 items.
- On Kullback-Leibler loss and density estimation (Q1124241) (← links)
- On two recent papers of Y. Kanazawa (Q1903153) (← links)
- \textsc{CaDET}: interpretable parametric conditional density estimation with decision trees and forests (Q2320591) (← links)
- On Variance-Stabilizing Multivariate Non Parametric Regression Estimation (Q3462358) (← links)
- Estimation de contrastes de Kullback par la méthode du noyau: Loi limite. (Estimating Kullback contrasts by the kernel method: Asymptotic distribution) (Q3980870) (← links)
- ON THE ASYMPTOTIC EQUIVALENCE OF HELLINGER DISTANCE AND KULLBACK-LEIBLER LOSS (Q4269623) (← links)
- A general and fast convergent bandwidth selection method of kernel estimator (Q5448694) (← links)
- Weighted Hellinger distance as an error criterion for bandwidth selection in kernel estimation (Q5478901) (← links)
- <i>β</i>-divergence loss for the kernel density estimation with bias reduced (Q5880088) (← links)
- (Q6084355) (← links)