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20202025
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5 papers · 1 filter

stat.ME2025

Modeling Bounded Count Environmental Data Using a Contaminated Beta-Binomial Regression Model

Arnoldus F. Otto, Antonio Punzo, Johannes T. Ferreira +3

This paper investigates two environmental applications related to climate change, where observations consist of bounded counts. The binomial and beta-binomial (BB) models are commo…

stat.ME2021

Parsimonious Hidden Markov Models for Matrix-Variate Longitudinal Data

Salvatore D. Tomarchio, Antonio Punzo, Antonello Maruotti

Hidden Markov models (HMMs) have been extensively used in the univariate and multivariate literature. However, there has been an increased interest in the analysis of matrix-variat…

stat.ME2021

Matrix Normal Cluster-Weighted Models

Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo

Finite mixtures of regressions with fixed covariates are a commonly used model-based clustering methodology to deal with regression data. However, they assume assignment independen…

stat.ME2021

Multivariate Cluster Weighted Models Using Skewed Distributions

Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas +1

Much work has been done in the area of the cluster weighted model (CWM), which extends the finite mixture of regression model to include modelling of the covariates. Although many…

stat.ME2020

Mixtures of Contaminated Matrix Variate Normal Distributions

Salvatore D. Tomarchio, Michael P. B. Gallaugher, Antonio Punzo +1

Analysis of three-way data is becoming ever more prevalent in the literature, especially in the area of clustering and classification. Real data, including real three-way data, are…