90 citations · 197 across the 35 of their papers we have counts for
5 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…
Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model
Antonio Punzo, Paul D. McNicholas
The Gaussian cluster-weighted model (CWM) is a mixture of regression models with random covariates that allows for flexible clustering of a random vector composed of response varia…
High-dimensional unsupervised classification via parsimonious contaminated mixtures
Antonio Punzo, Martin Blostein, Paul D. McNicholas
The contaminated Gaussian distribution represents a simple heavy-tailed elliptical generalization of the Gaussian distribution; unlike the often-considered t-distribution, it also…
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…
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…