53 citations · 120 across the 17 of their papers we have counts for
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stat.ME2013★ 53 cited
Variational Bayes Approximations for Clustering via Mixtures of Normal Inverse Gaussian Distributions
Sanjeena Subedi, Paul D. McNicholas
Parameter estimation for model-based clustering using a finite mixture of normal inverse Gaussian (NIG) distributions is achieved through variational Bayes approximations. Univaria…
stat.CO2013★ 6 cited
Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models
Ryan P. Browne, Sanjeena Subedi, Paul McNicholas
The expectation-maximization (EM) algorithm is an iterative method for finding maximum likelihood estimates when data are incomplete or are treated as being incomplete. The EM algo…
stat.ME2013
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting
Sanjeena Subedi, Paul D. McNicholas
Mixture model-based clustering has become an increasingly popular data analysis technique since its introduction over fifty years ago, and is now commonly utilized within a family…