Search Results - "Browne, Ryan P."

A mixture of generalized hyperbolic distributions by Browne, Ryan P., McNicholas, Paul D.

“…We introduce a mixture of generalized hyperbolic distributions as an alternative to the ubiquitous mixture of Gaussian distributions as well as their near…”
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Mixtures of Shifted AsymmetricLaplace Distributions by Franczak, Brian C., Browne, Ryan P., McNicholas, Paul D.

“…A mixture of shifted asymmetric Laplace distributions is introduced and used for clustering and classification. A variant of the EM algorithm is developed for…”
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Generalized linear models for massive data via doubly-sketching by Hou-Liu, Jason, Browne, Ryan P.

“…Generalized linear models are a popular analytics tool with interpretable results and broad applicability, but require iterative estimation procedures that…”
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Mixtures of Shifted Asymmetric Laplace Distributions by FRANCZAK, Brian C, BROWNE, Ryan P, MCNICHOLAS, Paul D

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Model-Based Clustering with Nested Gaussian Clusters by Hou-Liu, Jason, Browne, Ryan P.

“…A dataset may exhibit multiple class labels for each observation; sometimes, these class labels manifest in a hierarchical structure. A textbook analogy would…”
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Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions by Browne, Ryan P., Bagnato, Luca, Punzo, Antonio

“…Mixtures of multivariate leptokurtic-normal distributions have been recently introduced in the clustering literature based on mixtures of elliptical…”
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Mixtures of multivariate power exponential distributions by Dang, Utkarsh J, Browne, Ryan P, McNicholas, Paul D

“…An expanded family of mixtures of multivariate power exponential distributions is introduced. While fitting heavy‐tails and skewness have received much…”
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Chimeral Clustering by Hou-Liu, Jason, Browne, Ryan P.

“…Hybrid species tend to exhibit a mixture of parent characteristics; we propose chimeral clusters as exhibiting a mixture of parent parameters, a type of…”
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The orthogonal skew model: computationally efficient multivariate skew-normal and skew-t distributions with applications to model-based clustering by Browne, Ryan P., Andrews, Jeffrey L.

“…We introduce a parameterization for the multivariate skew normal and skew- t distributions, which enforces an orthogonal structure on the skewness parameter…”
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Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions by Morris, Katherine, Punzo, Antonio, McNicholas, Paul D., Browne, Ryan P.

“…Mixtures of multivariate contaminated shifted asymmetric Laplace distributions are developed for handling asymmetric clusters in the presence of outliers (also…”
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Assessing the variability of posterior probabilities in Gaussian model-based clustering by Zhang, Yuchi, Browne, Ryan P., Andrews, Jeffrey L.

“…We propose a variant of the bootstrap to assess the variability of posterior probabilities arising from Gaussian model-based clustering. The bootstrap variant…”
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Factor and hybrid components for model-based clustering by Hou-Liu, Jason, Browne, Ryan P.

“…A major challenge when performing model-based clustering is a large increase in the number of free parameters as the data dimensionality increases. To combat…”
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Flexible mixture regression with the generalized hyperbolic distribution by Kim, Nam-Hwui, Browne, Ryan P.

“…When modeling the functional relationship between a response variable and covariates via linear regression, multiple relationships may be present depending on…”
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Anderson relaxation test for intrinsic dimension selection in model-based clustering by Kim, Nam-Hwui, Browne, Ryan P.

“…Parsimonious finite mixture models often require the a priori selection of desired model dimensionality. For example, projection-based parsimonious models…”
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Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package by Tortora, Cristina, Browne, Ryan P., ElSherbiny, Aisha, Franczak, Brian C., McNicholas, Paul D.

“…The MixGHD package for R performs model-based clustering, classification, and discriminant analysis using the generalized hyperbolic distribution (GHD). This…”
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A dual subspace parsimonious mixture of matrix normal distributions by Sharp, Alex, Chalatov, Glen, Browne, Ryan P.

“…We present a parsimonious dual-subspace clustering approach for a mixture of matrix-normal distributions. By assuming certain principal components of the row…”
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A Mixture of Coalesced Generalized Hyperbolic Distributions by Tortora, Cristina, Franczak, Brian C., Browne, Ryan P., McNicholas, Paul D.

“…A mixture of multiple scaled generalized hyperbolic distributions (MMSGHDs) is introduced. Then, a coalesced generalized hyperbolic distribution (CGHD) is…”
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A mixture of generalized hyperbolic factor analyzers by Tortora, Cristina, McNicholas, Paul D., Browne, Ryan P.

“…The mixture of factor analyzers model, which has been used successfully for the model-based clustering of high-dimensional data, is extended to generalized…”
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Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models by Dang, Utkarsh J., Punzo, Antonio, McNicholas, Paul D., Ingrassia, Salvatore, Browne, Ryan P.

“…A family of parsimonious Gaussian cluster-weighted models is presented. This family concerns a multivariate extension to cluster-weighted modelling that can…”
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Hypothesis Testing for Mixture Model Selection by Punzo, Antonio, Browne, Ryan P., McNicholas, Paul D.

“…Gaussian mixture models with eigen-decomposed covariance structures, i.e. the Gaussian parsimonious clustering models (GPCM), make up the most popular family…”
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