4 papers
Mixtures of Multivariate Power Exponential Distributions
Utkarsh J. Dang, Ryan P. Browne, Paul D. McNicholas
An expanded family of mixtures of multivariate power exponential distributions is introduced. While fitting heavy-tails and skewness has received much attention in the model-based…
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…
Accelerated Failure Time Models for Competing Risks in a Cluster Weighted Modelling Framework
Utkarsh J. Dang, Paul D. McNicholas
A novel approach for dealing with censored competing risks regression data is proposed. This is implemented by a mixture of accelerated failure time (AFT) models for a competing ri…
Families of Parsimonious Finite Mixtures of Regression Models
Utkarsh J. Dang, Paul D. McNicholas
Finite mixtures of regression models offer a flexible framework for investigating heterogeneity in data with functional dependencies. These models can be conveniently used for unsu…