Ryan P. Browne

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 22

Top Topics

Unsupervised Learning

Heavy Tailed Distributions

Factor Analyzers

Top Venues

Adv. Data Anal. Classif.

Comput. Stat. Data Anal.

Publications

Nam-Hwui Kim, Ryan P. Browne
Flexible mixture regression with the generalized hyperbolic distribution. Adv. Data Anal. Classif. 18 (1) (2024)
Jason Hou-Liu, Ryan P. Browne
Model-Based Clustering with Nested Gaussian Clusters. J. Classif. 41 (1) (2024)
Yuchi Zhang, Ryan P. Browne, Jeffrey L. Andrews
Assessing the variability of posterior probabilities in Gaussian model-based clustering. Commun. Stat. Simul. Comput. 52 (5) (2023)
Alex Sharp, Glen Chalatov, Ryan P. Browne
A dual subspace parsimonious mixture of matrix normal distributions. Adv. Data Anal. Classif. 17 (3) (2023)
Jason Hou-Liu, Ryan P. Browne
Generalized linear models for massive data via doubly-sketching. Stat. Comput. 33 (5) (2023)
Utkarsh J. Dang, Michael P. B. Gallaugher, Ryan P. Browne, Paul D. McNicholas
Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions. J. Classif. 40 (1) (2023)
Jeffrey L. Andrews, Ryan P. Browne, Chelsey D. Hvingelby
On Assessments of Agreement Between Fuzzy Partitions. J. Classif. 39 (2) (2022)
Jason Hou-Liu, Ryan P. Browne
Factor and hybrid components for model-based clustering. Adv. Data Anal. Classif. 16 (2) (2022)
Alex Sharp, Ryan P. Browne
A joint latent factor analyzer and functional subspace model for clustering multivariate functional data. Stat. Comput. 32 (5) (2022)
Jason Hou-Liu, Ryan P. Browne
Chimeral Clustering. J. Classif. 39 (1) (2022)
Nam-Hwui Kim, Ryan P. Browne
In the pursuit of sparseness: A new rank-preserving penalty for a finite mixture of factor analyzers. Comput. Stat. Data Anal. 160 (2021)
Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. CoRR (2021)
Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. IJCNN (2021)
Cristina Tortora, Ryan P. Browne, Aisha Elsherbiny, Brian C. Franczak, Paul D. McNicholas
Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package. J. Stat. Softw. 98 (1) (2021)
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
Mixtures of Hidden Truncation Hyperbolic Factor Analyzers. J. Classif. 37 (2) (2020)
Nam-Hwui Kim, Ryan P. Browne
Subspace clustering for the finite mixture of generalized hyperbolic distributions. Adv. Data Anal. Classif. 13 (3) (2019)
Cristina Tortora, Brian C. Franczak, Ryan P. Browne, Paul D. McNicholas
A Mixture of Coalesced Generalized Hyperbolic Distributions. J. Classif. 36 (1) (2019)
Katherine Morris, Antonio Punzo, Paul D. McNicholas, Ryan P. Browne
Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions. Comput. Stat. Data Anal. 132 (2019)
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
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. 171 (2019)
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering. J. Multivar. Anal. 161 (2017)
Utkarsh J. Dang, Antonio Punzo, Paul D. McNicholas, Salvatore Ingrassia, Ryan P. Browne
Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models. J. Classif. 34 (1) (2017)
Cristina Tortora, Paul D. McNicholas, Ryan P. Browne
A mixture of generalized hyperbolic factor analyzers. Adv. Data Anal. Classif. 10 (4) (2016)
Yang Tang, Ryan P. Browne, Paul D. McNicholas
Model based clustering of high-dimensional binary data. Comput. Stat. Data Anal. 87 (2015)
Brian C. Franczak, Cristina Tortora, Ryan P. Browne, Paul D. McNicholas
Corrigendum to "Unsupervised learning via mixtures of skewed distributions with hypercube contours" [Pattern Recognition Letters. 58(1), 69-76]. Pattern Recognit. Lett. 62 (2015)
Brian C. Franczak, Cristina Tortora, Ryan P. Browne, Paul D. McNicholas
Unsupervised learning via mixtures of skewed distributions with hypercube contours. Pattern Recognit. Lett. 58 (2015)
Ryan P. Browne, Paul D. McNicholas
Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models. Stat. Comput. 24 (2) (2014)
Brian C. Franczak, Ryan P. Browne, Paul D. McNicholas
Mixtures of Shifted AsymmetricLaplace Distributions. IEEE Trans. Pattern Anal. Mach. Intell. 36 (6) (2014)
Ryan P. Browne, Paul D. McNicholas
Estimating common principal components in high dimensions. Adv. Data Anal. Classif. 8 (2) (2014)
Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
Mixtures of skew-t factor analyzers. Comput. Stat. Data Anal. 77 (2014)
Paul D. McNicholas, Ryan P. Browne, Paula M. Murray
Discussion of 'Model-based clustering and classification with non-normal mixture distributions' by Lee and McLachlan. Stat. Methods Appl. 22 (4) (2013)
Ryan P. Browne, Paul D. McNicholas, Matthew D. Sparling
Model-Based Learning Using a Mixture of Mixtures of Gaussian and Uniform Distributions. IEEE Trans. Pattern Anal. Mach. Intell. 34 (4) (2012)
Ryan P. Browne, R. Jock MacKay, Stefan H. Steiner
Leveraged Gauge R&R Studies. Technometrics 52 (3) (2010)
Ryan P. Browne, R. Jock MacKay, Stefan H. Steiner
Two-Stage Leveraged Measurement System Assessment. Technometrics 51 (3) (2009)