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A mixture of coalesced generalized hyperbolic distributions (GHDs) is developed by joining a finite mixture of generalized hyperbolic distributions with a novel mixture of multiple scaled generalizedâ€¦ (More)

A mixture of shifted asymmetric Laplace distributions is introduced and used for clustering and classification. A variant of the EM algorithm is developed for parameter estimation by exploiting theâ€¦ (More)

We introduce a mixture of generalized hyperbolic distributions as an alternative to the ubiquitous mixture of Gaussian distributions as well as their near relatives of which the mixture ofâ€¦ (More)

- Ryan P. Browne, Paul D. McNicholas, Matthew D. Sparling
- IEEE Transactions on Pattern Analysis and Machineâ€¦
- 2012

We introduce a mixture model whereby each mixture component is itself a mixture of a multivariate Gaussian distribution and a multivariate uniform distribution. Although this model could be used forâ€¦ (More)

- Ryan P. Browne, Paul D. McNicholas
- Adv. Data Analysis and Classification
- 2014

We consider the problem of minimizing an objective function that depends on an orthonormal matrix. This situation is encountered, for example, when looking for common principal components. The Fluryâ€¦ (More)

- Yang Tang, Ryan P. Browne, Paul D. McNicholas
- Computational Statistics & Data Analysis
- 2015

Model-based Clustering of High-dimensional Binary Data Yang Tang Advisors: University of Guelph Professor Paul D. McNicholas August, 2013 Professor Ryan P. Browne We present a mixture of latent traitâ€¦ (More)

- Utkarsh J. Dang, Ryan P. Browne, Paul D. McNicholas
- Biometrics
- 2015

An expanded family of mixtures of multivariate power exponential distributions is introduced. While fitting heavy-tails and skewness have received much attention in the model-based clusteringâ€¦ (More)

- Brian C. Franczak, Cristina Tortora, Ryan P. Browne, Paul D. McNicholas
- Pattern Recognition Letters
- 2015

Mixture models whose components have skewed hypercube contours are developed via a generalization of the multivariate shifted asymmetric Laplace density. Specifically, we develop mixtures of multipleâ€¦ (More)

- Paula M. Murray, Ryan P. Browne, Paul D. McNicholas
- J. Multivariate Analysis
- 2017

A hidden truncation hyperbolic (HTH) distribution is introduced and finite mixtures thereof are applied for clustering. A stochastic representation of the HTH distribution is given and a density isâ€¦ (More)

Gaussian mixture models with eigen-decomposed covariance structures make up the most popular family of mixture models for clustering and classification, i.e., the Gaussian parsimonious clusteringâ€¦ (More)