Statistical estimation of a mixture of Gaussian distributions

DOI10.1007/BF00992613zbMath0826.62042MaRDI QIDQ1897261

Yanyan Li

Publication date: 26 November 1995

Published in: Acta Applicandae Mathematicae (Search for Journal in Brave)

zbMATH Keywords

EM algorithmdensity estimationbackground clusterdiscrete mixture of Gaussian distributionstesting of model adequacy

Mathematics Subject Classification ID

Density estimation (62G07) Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (4)

Clustering effect on the statistical estimation accuracy of distribution density ⋮ Purposeful projection in models of a mixture of Gaussian distributions that preserves information about the cluster structure. ⋮ Alternating kernel and mixture density estimates. ⋮ ACCURACY OF NONPARAMETRIC DENSITY ESTIMATION FOR UNIVARIATE GAUSSIAN MIXTURE MODELS: A COMPARATIVE STUDY

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• On the convergence properties of the EM algorithm
• Locally adaptive hazard smoothing
• The bootstrapped maximum likelihood estimator with an application
• Location-adaptive density estimation and nearest-neighbor distance
• On global properties of variable bandwidth density estimators
• Variable kernel density estimation
• On bandwidth variation in kernel estimates. A square root law
• On nonparametric kernel density estimates
• Some recent research in the analysis of mixture distributions
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• Transformations in Density Estimation
• Bootstrap Technology and Applications
• Conjugate Gradient Acceleration of the EM Algorithm
• Adaptive Smoothing and Density-Based Tests of Multivariate Normality
• On a mixture of normal distributions
• The bootstrap and Edgeworth expansion

This page was built for publication: Statistical estimation of a mixture of Gaussian distributions