190 citations · 789 across the 22 of their papers we have counts for
7 papers · 1 filter
Multivariate response and parsimony for Gaussian cluster-weighted models
Utkarsh J. Dang, Antonio Punzo, Paul D. McNicholas +2
A family of parsimonious Gaussian cluster-weighted models is presented. This family concerns a multivariate extension to cluster-weighted modelling that can account for correlation…
Hypothesis Testing for Parsimonious Gaussian Mixture Models
Antonio Punzo, Ryan P. Browne, Paul D. McNicholas
Gaussian mixture models with eigen-decomposed covariance structures make up the most popular family of mixture models for clustering and classification, i.e., the Gaussian parsimon…
Model Based Clustering of High-Dimensional Binary Data
Yang Tang, Ryan P. Browne, Paul D. McNicholas
We propose a mixture of latent trait models with common slope parameters (MCLT) for model-based clustering of high-dimensional binary data, a data type for which few established me…
A Mixture of Coalesced Generalized Hyperbolic Distributions
Cristina Tortora, Brian C. Franczak, Ryan P. Browne +1
A mixture of multiple scaled generalized hyperbolic distributions (MMSGHDs) is introduced. Then, a coalesced generalized hyperbolic distribution (CGHD) is developed by joining a ge…
Unsupervised Learning via Mixtures of Skewed Distributions with Hypercube Contours
Brian C. Franczak, Cristina Tortora, Ryan P. Browne +1
Mixture models whose components have skewed hypercube contours are developed via a generalization of the multivariate shifted asymmetric Laplace density. Specifically, we develop m…
Asymmetric Clusters and Outliers: Mixtures of Multivariate Contaminated Shifted Asymmetric Laplace Distributions
Katherine Morris, Antonio Punzo, Paul D. McNicholas +1
Mixtures of multivariate contaminated shifted asymmetric Laplace distributions are developed for handling asymmetric clusters in the presence of outliers (also referred to as bad p…