Pages that link to "Item:Q993534"
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The following pages link to Kernel density estimation on Riemannian manifolds: asymptotic results (Q993534):
Displaying 20 items.
- Nonparametric least squares estimation in derivative families (Q736532) (← links)
- Methods of density estimation on the Grassmann manifold (Q1855347) (← links)
- Geometric structures arising from kernel density estimation on Riemannian manifolds (Q1931857) (← links)
- Additive regression for non-Euclidean responses and predictors (Q2054521) (← links)
- Level set and density estimation on manifolds (Q2078576) (← links)
- Nonparametric estimation for stationary and strongly mixing processes on Riemannian manifolds (Q2100129) (← links)
- Kernel density estimation on Riemannian manifolds (Q2483899) (← links)
- Density estimators of Gaussian type on closed Riemannian manifolds (Q2513410) (← links)
- Recent advances in directional statistics (Q2666029) (← links)
- Locally adaptive density estimation on Riemannian manifolds (Q2920819) (← links)
- Kernel Approximation on Manifolds I: Bounding the Lebesgue Constant (Q2999873) (← links)
- Partly linear models on Riemannian manifolds (Q3168312) (← links)
- Level Set and Density estimation on Manifolds (Q3300625) (← links)
- A kernel-based classifier on a Riemannian manifold (Q3536739) (← links)
- Oracle inequalities and upper bounds for kernel density estimators on manifolds and more general metric spaces (Q5051324) (← links)
- Adaptive manifold density estimation (Q5086101) (← links)
- (Q5159428) (← links)
- Estimation of entropy for Poisson marked point processes (Q5233167) (← links)
- A spectral series approach to high-dimensional nonparametric regression (Q5965330) (← links)
- Robust Estimators in Partly Linear Regression Models on Riemannian Manifolds (Q6169379) (← links)
