Matrix-variate normal mean-variance Birnbaum-Saunders distributions and related mixture models

Cites Work

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Initializing the EM algorithm in Gaussian mixture models with an unknown number of components
Finite mixtures of matrix normal distributions for classifying three-way data
Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data
Two new matrix-variate distributions with application in model-based clustering
On matrix-variate Birnbaum-Saunders distributions and their estimation and application
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
Simulating multivariate nonnormal distributions
Statistical properties of the generalized inverse Gaussian distribution
Estimating the dimension of a model
Three skewed matrix variate distributions
On parsimonious models for modeling matrix data
Matrix normal cluster-weighted models
Mixtures of skewed matrix variate bilinear factor analyzers
Nonlinear regression models based on the normal mean-variance mixture of Birnbaum-Saunders distribution
Studying crime trends in the USA over the years 2000--2012
An effective strategy for initializing the EM algorithm in finite mixture models
A novel mixture model using the multivariate normal mean-variance mixture of Birnbaum-Saunders distributions and its application to extrasolar planets
Model based clustering for three-way data structures
Robust model-based clustering with mild and gross outliers
Elliptically Contoured Models in Statistics and Portfolio Theory
Maximum likelihood estimation via the ECM algorithm: A general framework
Finding Groups in Data
Finite mixture models
Least squares quantization in PCM
Classification With the Matrix-Variate-t Distribution
Mixtures of Matrix-Variate Contaminated Normal Distributions
Model-based clustering via skewed matrix-variate cluster-weighted models
A Matrix-Variate Regression Model with Canonical States: An Application to Elderly Danish Twins
Multivariate normal mean–variance mixture distribution based on Birnbaum–Saunders distribution
A skew factor analysis model based on the normal mean–variance mixture of Birnbaum–Saunders distribution
Dichotomous unimodal compound models: application to the distribution of insurance losses
A Matrix Variate Skew-t Distribution

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