Irene Vrbik

>>University of British Columbia Okanagan.
 

Publications

Accepted

  1. Vrbik, I., Stephens, D. A., Roger, M., and Brenner, B. G. (2015). The Gap Procedure: for the identification of phylogenetic clusters in HIV-1 sequence data. BMC Bioinformatics, 16 (1), 355. [web link]
  2. Vrbik, I. and McNicholas, P. D., (2015). Fractionally-supervised classification. Journal of Classification, 32 (3), 359-381. [web link]
  3. Vrbik, I. and McNicholas, P. D., (2014). Parsimonious skew clustering mixture models. Computational Statistics and Data Analysis, 71, 196-210. [web link]
  4. Vrbik, I. and McNicholas, P. D., (2012). A fully analytic approach for multivariate skew-t mixture models. Statistics and Probability Letters, 82 (6), 1169-1174. [web link]
  5. Vrbik, I., Deardon, R., Feng, Z., Braun, J. and Gardner, A. (2012). Using individual-level models to model the spatio-temporal dynamics of combustion. Bayesian Analysis, 7 (3), 615-638. [web link]

Seminars

  1. Model-based methods of classification with applications. McGill Statistics Seminar Series. McGill University, November 2014.
  2. Modeling Spatio-Temporal Combustion Dynamics and Fractionally-supervised classification. Research talk. University of Manitoba, Winnipeg, Manitoba, Canada, October 2013.
  3. Model based clustering with the skewed-t distribution. Colloquium Series. University of Guelph, March 2012.

Conferences

  1. Fractionally-Supervised Classification via skew-t and skew-normal mixture models. Invited talk. 42nd annual meeting of the Statistical Society of Canada. Toronto, Ontario, Canada, May 2014.
  2. Fractionally Supervised Classification. 41st annual meeting of the Statistical Society of Canada. Edmonton, Alberta, Canada, May 2013.
  3. MCLUST Models Extended to Mixtures of Multivariate Skew-t Distributions. Classification Society annual meeting. Pittsburgh, Pennsylvania, USA, June 2012
  4. Clustering and Classification with Parsimonious Skew-t Mixture Models. 40th annual meeting of the Statistical Society of Canada. Guelph, Ontario, Canada, June 2012.
  5. Model-based clustering of time course data using the skew t distribution. 8th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society. University of Pavia, Italy, September 2011.

Posters

  1. Model-based clustering of time course data using the skew t distribution.. University of Washington Working Group on Model Based Clustering. University of Glasgow, Scotland, July 2011.
  2. Model-based clustering of time course data using the skew t distribution.. 39th Annual Meeting of the Statistical Society of Canada. Acadia University, Wolfville, NS, Canada, June 2011.
  3. Modeling the Spatio-Temporal Dynamics of Fire Spread. . 38th Annual Meeting of the Statistical Society of Canada; Québec City, QC, Canada, June 2010.