Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions

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

Cites Work

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Estimating common principal components in high dimensions
Parsimonious Hidden Markov Models for Matrix-Variate Longitudinal Data
Mixtures of multivariate power exponential distributions
On nomenclature for, and the relative merits of, two formulations of skew distributions
Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions
Assessing the pattern of covariance matrices via an augmentation multiple testing procedure
Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models
Estimating the dimension of a model
The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family
On Bernoulli's numerical solution of algebraic equations.
A multivariate linear regression analysis using finite mixtures of \(t\) distributions
Asymmetric clusters and outliers: mixtures of multivariate contaminated shifted asymmetric Laplace distributions
Setting up alternating least squares and iterative majorization algorithms for solving various matrix optimization problems
Unconstrained representation of orthogonal matrices with application to common principal components
Revitalizing the multivariate elliptical leptokurtic-normal distribution and its application in model-based clustering
Model-based clustering via new parsimonious mixtures of heavy-tailed distributions
Multivariate response and parsimony for Gaussian cluster-weighted models
Model-based clustering
Robust model-based clustering with mild and gross outliers
Parsimonious mixtures of multivariate contaminated normal distributions
Robust Clustering Using Exponential Power Mixtures
Statistical analysis of finite mixture distributions
A Schur method for solving algebraic Riccati equations
Infinite divisibility of the hyperbolic and generalized inverse Gaussian distributions
Model-Based Gaussian and Non-Gaussian Clustering
Model-Based Clustering, Discriminant Analysis, and Density Estimation
Dealing With Label Switching in Mixture Models
The multivariate leptokurtic‐normal distribution and its application in model‐based clustering
The multivariate tail-inflated normal distribution and its application in finance
Leptokurtic moment-parameterized elliptically contoured distributions with application to financial stock returns
Model-based clustering via skewed matrix-variate cluster-weighted models
Allometric analysis using the multivariate shifted exponential normal distribution
A mixture of generalized hyperbolic distributions
On a Matrix Riccati Equation of Stochastic Control
Model-Based Clustering and Classification for Data Science
Closed Likelihood Ratio Testing Procedures to Assess Similarity of Covariance Matrices
Multiple scaled symmetric distributions in allometric studies

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