Methods of density estimation on the Grassmann manifold
From MaRDI portal
Publication:1855347
DOI10.1016/S0024-3795(01)00425-6zbMath1009.62028MaRDI QIDQ1855347
Publication date: 5 February 2003
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Grassmann manifoldkernel density estimatorssemiparametric density estimationhypergeometric functions with matrix argumentorthogonal projection matricestransformation of manifolds
Directional data; spatial statistics (62H11) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)
Cites Work
- Kernel density estimation with spherical data
- Bessel functions of matrix argument
- All admissible linear estimators of a multivariate Poisson mean
- Asymptotic expansions for distributions of latent roots in multivariate analysis
- Density estimation on the Stiefel manifold
- Locally parametric nonparametric density estimation
- Density estimation on the spaces of symmetric and rectangular matrices
- Large sample asymptotic theory of tests for uniformity on the Grassmann manifold
- Nonparametric density estimation with a parametric start
- Error analysis for general multtvariate kernel estimators
- A Semiparametric Approach to Density Estimation
- Transformations in Density Estimation
- Procrustes analysis on some special manifolds
- Orientation statistics
- Distributions of Matrix Variates and Latent Roots Derived from Normal Samples
- Some Non-Central Distribution Problems in Multivariate Analysis
- Normal Multivariate Analysis and the Orthogonal Group
- Robust Statistics
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Methods of density estimation on the Grassmann manifold