Learning from incomplete data via parameterized \(t\) mixture models through eigenvalue decomposition
type: Item
instance of: scholarly article
title: Learning from incomplete data via parameterized \(t\) mixture models through eigenvalue decomposition
zbMATH Open document ID: 1471.62120
published in: Computational Statistics and Data Analysis
publication date: 2018-11-08T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62F10
zbMATH DE Number: 6975381
zbMATH Keywords: eigenvalue decomposition
zbMATH Keywords: EM-type algorithms
zbMATH Keywords: F-G algorithm
zbMATH Keywords: integrated completed likelihood
zbMATH Keywords: model-based clustering
zbMATH Keywords: multivariate \(t\) mixture models
author: Tsung-I Lin
describes a project that uses: Mixmod
describes a project that uses: R
describes a project that uses: PRMLT
describes a project that uses: mclust
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.csda.2013.02.020
OpenAlex ID: W2022971702
cites work: Extending mixtures of multivariate \(t\)-factor analyzers
cites work: Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions
cites work: Model-Based Gaussian and Non-Gaussian Clustering
cites work: Regularized Gaussian Discriminant Analysis Through Eigenvalue Decomposition
cites work: Model-based cluster and discriminant analysis with the MIXMOD software
cites work: Q5483032
cites work: The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family
cites work: Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
cites work: A classification EM algorithm for clustering and two stochastic versions
cites work: Q4139463
cites work: Q4298912
cites work: Bayesian Density Estimation and Inference Using Mixtures
cites work: Q3918886
cites work: An Algorithm for Simultaneous Orthogonal Transformation of Several Positive Definite Symmetric Matrices to Nearly Diagonal Form
cites work: How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
cites work: Model-Based Clustering, Discriminant Analysis, and Density Estimation
cites work: Enhanced model-based clustering, density estimation, and discriminant analysis software:\newline MCLUST
cites work: Finite mixture and Markov switching models.
cites work: Monte Carlo sampling methods using Markov chains and their applications
cites work: Consistent estimation of the order of mixture models.
cites work: Maximum likelihood estimation for multivariate skew normal mixture models
cites work: Computationally efficient learning of multivariate \(t\) mixture models with missing information
cites work: On fast supervised learning for normal mixture models with missing information
cites work: Q4779059
cites work: The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
cites work: Parameter expansion to accelerate EM: the PX-EM algorithm
cites work: Q4692755
cites work: The EM Algorithm and Extensions, 2E
cites work: Finite mixture models
cites work: Model-based classification using latent Gaussian mixture models
cites work: Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models
cites work: Maximum likelihood estimation via the ECM algorithm: A general framework
cites work: Q4363980
cites work: Mixture Densities, Maximum Likelihood and the EM Algorithm
cites work: Inference and missing data
cites work: Q4654005
cites work: Q4246485
cites work: Estimating the dimension of a model
cites work: Robust clustering by deterministic agglomeration EM of mixtures of multivariate \(t\)-distributions
cites work: The Calculation of Posterior Distributions by Data Augmentation
cites work: Statistical analysis of finite mixture distributions
DOI: 10.1016/J.CSDA.2013.02.020
description: scientific article; zbMATH DE number 6975381