Ryan P. Browne

35 papers B 1Journal 34
YearRankTypeTitle / Venue / Authors
2024 J jnl
Flexible mixture regression with the generalized hyperbolic distribution.
Adv. Data Anal. Classif.
Nam-Hwui Kim, Ryan P. Browne
2024 J jnl
Model-Based Clustering with Nested Gaussian Clusters.
J. Classif.
Jason Hou-Liu, Ryan P. Browne
2024 J jnl
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions.
Adv. Data Anal. Classif.
Ryan P. Browne, Luca Bagnato, Antonio Punzo
2023 J jnl
A dual subspace parsimonious mixture of matrix normal distributions.
Adv. Data Anal. Classif.
Alex Sharp, Glen Chalatov, Ryan P. Browne
2023 J jnl
Assessing the variability of posterior probabilities in Gaussian model-based clustering.
Commun. Stat. Simul. Comput.
Yuchi Zhang, Ryan P. Browne, Jeffrey L. Andrews
2023 J jnl
Generalized linear models for massive data via doubly-sketching.
Stat. Comput.
Jason Hou-Liu, Ryan P. Browne
2023 J jnl
Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions.
J. Classif.
Utkarsh J. Dang, Michael P. B. Gallaugher, Ryan P. Browne, Paul D. McNicholas
2022 J jnl
A joint latent factor analyzer and functional subspace model for clustering multivariate functional data.
Stat. Comput.
Alex Sharp, Ryan P. Browne
2022 J jnl
Chimeral Clustering.
J. Classif.
Jason Hou-Liu, Ryan P. Browne
2022 J jnl
Factor and hybrid components for model-based clustering.
Adv. Data Anal. Classif.
Jason Hou-Liu, Ryan P. Browne
2022 J jnl
On Assessments of Agreement Between Fuzzy Partitions.
J. Classif.
Jeffrey L. Andrews, Ryan P. Browne, Chelsey D. Hvingelby
2021 J jnl
Functional data clustering by projection into latent generalized hyperbolic subspaces.
Adv. Data Anal. Classif.
Alex Sharp, Ryan P. Browne
2021 J jnl
In the pursuit of sparseness: A new rank-preserving penalty for a finite mixture of factor analyzers.
Comput. Stat. Data Anal.
Nam-Hwui Kim, Ryan P. Browne
2021 J jnl
Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package.
J. Stat. Softw.
Cristina Tortora, Ryan P. Browne, Aisha ElSherbiny, Brian C. Franczak, Paul D. McNicholas
2021 B conf
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes.
IJCNN
Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau
2021 J jnl
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes.
CoRR
Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau
2020 J jnl
Mixtures of Hidden Truncation Hyperbolic Factor Analyzers.
J. Classif.
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
2019 J jnl
A Mixture of Coalesced Generalized Hyperbolic Distributions.
J. Classif.
Cristina Tortora, Brian C. Franczak, Ryan P. Browne, Paul D. McNicholas
2019 J jnl
Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions.
Comput. Stat. Data Anal.
Katherine Morris, Antonio Punzo, Paul D. McNicholas, Ryan P. Browne
2019 J jnl
Note of Clarification on 'Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering', by Murray, Browne, and McNicholas, J. Multivariate Anal. 161 (2017) 141-156.
J. Multivar. Anal.
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
2019 J jnl
Subspace clustering for the finite mixture of generalized hyperbolic distributions.
Adv. Data Anal. Classif.
Nam-Hwui Kim, Ryan P. Browne
2017 J jnl
Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering.
J. Multivar. Anal.
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
2017 J jnl
Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models.
J. Classif.
Utkarsh J. Dang, Antonio Punzo, Paul D. McNicholas, Salvatore Ingrassia, Ryan P. Browne
2016 J jnl
A mixture of generalized hyperbolic factor analyzers.
Adv. Data Anal. Classif.
Cristina Tortora, Paul D. McNicholas, Ryan P. Browne
2015 J jnl
Corrigendum to "Unsupervised learning via mixtures of skewed distributions with hypercube contours" [Pattern Recognition Letters. 58(1), 69-76].
Pattern Recognit. Lett.
Brian C. Franczak, Cristina Tortora, Ryan P. Browne, Paul D. McNicholas
2015 J jnl
Model based clustering of high-dimensional binary data.
Comput. Stat. Data Anal.
Yang Tang, Ryan P. Browne, Paul D. McNicholas
2015 J jnl
Unsupervised learning via mixtures of skewed distributions with hypercube contours.
Pattern Recognit. Lett.
Brian C. Franczak, Cristina Tortora, Ryan P. Browne, Paul D. McNicholas
2014 J jnl
Estimating common principal components in high dimensions.
Adv. Data Anal. Classif.
Ryan P. Browne, Paul D. McNicholas
2014 J jnl
Mixtures of Shifted AsymmetricLaplace Distributions.
IEEE Trans. Pattern Anal. Mach. Intell.
Brian C. Franczak, Ryan P. Browne, Paul D. McNicholas
2014 J jnl
Mixtures of skew-t factor analyzers.
Comput. Stat. Data Anal.
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
2014 J jnl
Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models.
Stat. Comput.
Ryan P. Browne, Paul D. McNicholas
2013 J jnl
Discussion of 'Model-based clustering and classification with non-normal mixture distributions' by Lee and McLachlan.
Stat. Methods Appl.
Paul D. McNicholas, Ryan P. Browne, Paula M. Murray
2012 J jnl
Model-Based Learning Using a Mixture of Mixtures of Gaussian and Uniform Distributions.
IEEE Trans. Pattern Anal. Mach. Intell.
Ryan P. Browne, Paul D. McNicholas, Matthew D. Sparling
2010 J jnl
Leveraged Gauge R&R Studies.
Technometrics
Ryan P. Browne, R. Jock MacKay, Stefan H. Steiner
2009 J jnl
Two-Stage Leveraged Measurement System Assessment.
Technometrics
Ryan P. Browne, R. Jock MacKay, Stefan H. Steiner