Analytic calculations for the EM algorithm for multivariate skew-t mixture models

By Irene Vrbik, Paul David McNicholas. 2012

100 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/12424356aa672161e256fa7d2b6cffa9f51a0172

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ryan P. Browne
2. Paul David McNicholas
3. Richard Gerlach
4. S. T. Boris Choy
5. Nuttanan Wichitaksorn
6. Sylvain Calinon

In Statistics and Probability

1. Ryan P. Browne
2. Paul David McNicholas
3. Richard Gerlach
4. S. T. Boris Choy
5. Nuttanan Wichitaksorn

Citations in the corpus

• A generalized class of skew distributions and associated robust quantile regression models (2014, background): “See also Vrbik & McNicholas (2012), Lee & McLachlan (2013a, 2013b), and references therein, for various types and construction of * Author to whom correspondence may be addressed.”
• Model-Based Clustering (2016, methodology): “Mixtures of these formulations have been used for clustering and classification in several contexts, including work by Lin (2009, 2010), Vrbik and McNicholas (2012, 2014), and Lee and McLachlan (2013a,b, 2014).”
• A mixture of generalized hyperbolic distributions (2013, methodology): “es to model-based clustering includes work on the multivariate t-distribution (Peel and McLachlan, 2000), the skew-normal distribution(Lin,2009), theskew-tdistribution(Lin,2010;Lee and McLachlan,2011;Vrbik and McNicholas, 2012), as well as other approaches (Karlis and Meligkotsidou, 2007; Handcock e”