On a Mixture Model for Directional Data on the Sphere
From MaRDI portal
Publication:2791833
DOI10.1111/sjos.12169zbMath1364.62123OpenAlexW1568847598MaRDI QIDQ2791833
Na Zhang, Claudia Redenbach, Jürgen Franke
Publication date: 16 March 2016
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/sjos.12169
parameter estimationEM algorithmmaximum likelihoodangular central Gaussian distributiondirection distribution
Directional data; spatial statistics (62H11) Asymptotic properties of parametric estimators (62F12) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items
Recent advances in directional statistics ⋮ Clustering directional data through depth functions ⋮ Dimension‐independent Markov chain Monte Carlo on the sphere ⋮ Detecting anomalies in fibre systems using 3-dimensional image data ⋮ Estimating a mixing distribution on the sphere using predictive recursion
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
- Kernel density estimation with spherical data
- Asymptotics for spherical needlets
- Consistent estimation of a mixing distribution
- Ridges in image and data analysis
- Estimation of densities and derivatives of densities with directional data.
- Testing the number of components in a normal mixture
- 3D DIRECTIONAL MATHEMATICAL MORPHOLOGY FOR ANALYSIS OF FIBER ORIENTATIONS
- Inversion algorithms for the spherical Radon and cosine transform
- ON THE DILATED FACETS OF A POISSON-VORONOI TESSELLATION
- Statistical analysis for the angular central Gaussian distribution on the sphere
- A Smooth Nonparametric Estimate of a Mixing Distribution Using Mixtures of Gaussians
- Efficient Nonparametric Density Estimation on the Sphere with Applications in Fluid Mechanics
- Estimating the Order of Hidden Markov Models
This page was built for publication: On a Mixture Model for Directional Data on the Sphere