Kernel density estimation on Riemannian manifolds: asymptotic results
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Publication:993534
DOI10.1007/S10851-009-0145-2zbMath1490.62513OpenAlexW2166166397WikidataQ115383736 ScholiaQ115383736MaRDI QIDQ993534
Guillermo Henry, Daniela Rodriguez
Publication date: 20 September 2010
Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10851-009-0145-2
Density estimation (62G07) Asymptotic distribution theory in statistics (62E20) Statistics on manifolds (62R30)
Related Items (12)
Partly linear models on Riemannian manifolds ⋮ Adaptive manifold density estimation ⋮ Recent advances in directional statistics ⋮ Robust Estimators in Partly Linear Regression Models on Riemannian Manifolds ⋮ Level Set and Density estimation on Manifolds ⋮ A spectral series approach to high-dimensional nonparametric regression ⋮ Nonparametric least squares estimation in derivative families ⋮ Additive regression for non-Euclidean responses and predictors ⋮ Estimation of entropy for Poisson marked point processes ⋮ Level set and density estimation on manifolds ⋮ Unnamed Item ⋮ Nonparametric estimation for stationary and strongly mixing processes on Riemannian manifolds
Cites Work
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- Kernel estimators of density function of directional data
- Kernel density estimation with spherical data
- Intrinsic statistics on Riemannian manifolds: Basic tools for geometric measurements
- Asymptotic data analysis on manifolds
- Nonparametic estimation of location and dispersion on Riemannian manifolds
- Kernel density estimation on Riemannian manifolds
- Le spectre d'une variété riemannienne. (The spectrum of a Riemannian manifold)
- Statistical Analysis of Spherical Data
- On power and sample size determinations for the Wilcoxon–Mann–Whitney test
- Robust nonparametric regression on Riemannian manifolds
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