Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data. - Michael P. B. Gallaugher; Christophe Biernacki; Paul D. McNicholas (CoRR, 2018)

Finite mixtures of skewed matrix variate distributions. - Michael P. B. Gallaugher; Paul D. McNicholas (Pattern Recognit., 2018)

On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution. - Michael P. B. Gallaugher; Paul D. McNicholas (J. Classif., 2019)

Mixtures of skewed matrix variate bilinear factor analyzers. - Michael P. B. Gallaugher; Paul D. McNicholas (Adv. Data Anal. Classif., 2020)

Multivariate cluster weighted models using skewed distributions. - Michael P. B. Gallaugher; Salvatore D. Tomarchio; Paul D. McNicholas; Antonio Punzo (Adv. Data Anal. Classif., 2022)

Correction to: Multivariate cluster weighted models using skewed distributions. - Michael P. B. Gallaugher; Salvatore D. Tomarchio; Paul D. McNicholas; Antonio Punzo (Adv. Data Anal. Classif., 2022)

Mixtures of Matrix-Variate Contaminated Normal Distributions. - Salvatore D. Tomarchio; Michael P. B. Gallaugher; Antonio Punzo; Paul D. McNicholas (J. Comput. Graph. Stat., 2022)

Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions. - Utkarsh J. Dang; Michael P. B. Gallaugher; Ryan P. Browne; Paul D. McNicholas (J. Classif., 2023)

Parameter-wise co-clustering for high-dimensional data. - Michael P. B. Gallaugher; Christophe Biernacki; Paul D. McNicholas (Comput. Stat., 2023)

Modeling matrix variate time series via hidden Markov models with skewed emissions. - Michael P. B. Gallaugher; Xuwen Zhu (Stat. Anal. Data Min., 2024)

Flexible Clustering with a Sparse Mixture of Generalized Hyperbolic Distributions. - Alexa A. Sochaniwsky; Michael P. B. Gallaugher; Yang Tang; Paul D. McNicholas (J. Classif., 2025)