Michael P. B. Gallaugher

According to our database, Michael P. B. Gallaugher authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Modeling matrix variate time series via hidden Markov models with skewed emissions.

Michael P. B. Gallaugher, Xuwen Zhu

Stat. Anal. Data Min., February, 2024

2023

Parameter-wise co-clustering for high-dimensional data.

Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas

Comput. Stat., September, 2023

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., April, 2023

2022

Mixtures of Matrix-Variate Contaminated Normal Distributions.

Salvatore D. Tomarchio, Michael P. B. Gallaugher, Antonio Punzo, Paul D. McNicholas

J. Comput. Graph. Stat., January, 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

Multivariate cluster weighted models using skewed distributions.

Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo

Adv. Data Anal. Classif., 2022

2020

Mixtures of skewed matrix variate bilinear factor analyzers.

Michael P. B. Gallaugher, Paul D. McNicholas

Adv. Data Anal. Classif., 2020

2019

On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution.

Michael P. B. Gallaugher, Paul D. McNicholas

J. Classif., 2019

2018

Finite mixtures of skewed matrix variate distributions.

Michael P. B. Gallaugher, Paul D. McNicholas

Pattern Recognit., 2018

Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data.

Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas

CoRR, 2018