Lectures, workshops, seminars, and conference presentations are listed below by type.
Invited Presentations at Conferences & Meetings
- ◆ Isobel Loutit Lecture (2020): Thoughts on Some Problems in Clustering, Statistical Society of Canada Annual Meeting, Ottawa, June 2021 (virtual).
- ◆ Selected Problems in Classification, Data Science Applied Research and Education Seminar, CANSSI Ontario, Toronto, February 2021 (virtual).
- ◆ Data Science, Classification and Three-Way Data, Colloque des sciences mathématiques du Québec, CRM, Montreal, October 2020 (virtual).
- ◆ Mixtures of Skewed Matrix Variate Bilinear Factor Analyzers, MBC2: An International Workshop on Model-Based Clustering and Classification, Catania, Italy, September 2020 (virtual).
- ◆ Using Subset Log-Likelihoods to Predict the Number of Outliers in Gaussian Mixture Models, American Mathematics Society Fall Eastern Sectional Meeting, Binghamton, NY, October 2019.
- ◆ Contributions to Model Selection and Cluster Analysis, Special Session in Honour of Prof. Stan Sclove, The Classification Society Annual Meeting, Edmonton, AB, June 2019.
- ◆ Mixtures of Matrix Variate Bilinear Factor Analyzers, MBC2: An International Workshop on Model-Based Clustering and Classification, Catania, Italy, September 2018.
- ◆ Clustering Longitudinal Data Using Mixture Models, Joint Statistical Meetings, Vancouver, BC, July 2018.
- ◆ Mixtures of Skewed Matrix Variate Distributions, University of Washington Working Group on Model-Based Clustering, Ann Arbor, MI, July2018.
- ◆ Selected Problems in Classification (President's Address), The Classification Society Annual Meeting, Stony Brook, NY, June2018.
- ◆ Securing Funding as a New Investigator (part of a panel discussion), Statistical Society of Canada Annual Meeting, Montreal, QC, June2018.
- ◆ Clustering Longitudinal Data, ENAR Spring Meeting, Atlanta, GA, March 2018.
- ◆ On Clustering Longitudinal Data, International Federation of Classification Societies, Tokyo, Japan, August 2017.
- ◆ Model-Based Clustering of Big Data, Joint Statistical Meetings, Baltimore, MD, July 2017. (Topic Contributed)
- ◆ Some Experiences from an Industry Collaboration, Statistical Society of Canada Annual Meeting, Winnipeg, MB, June2017.
- ◆ Mixture of Coalesced Generalized Hyperbolic Distributions, International Conference on Statistical Distributions and Applications, Niagara Falls, ON, October 2016.
- ◆ A Cluster, Clustering and Mixture Models, The Classification Society Annual Meeting, Columbia, MO, June 2016.
- ◆ Clustering Ultra High-Dimensional Data, Statistical Society of Canada Annual Meeting, St. Catherines, ON, May 2016.
- ◆ Implicit Versus Explicit Variable Selection, ERCIM Working Group on Computing & Statistics, London, England, December 2015.
- ◆ Averaging and Asymmetry in Cluster Analysis, International Federation of Classification Societies, Bologna, Italy, July2015.
- ◆ Outlier Detection via Contaminated Mixture Distributions, CLADAG, Modena, Italy, September 2013.
- ◆ Classification via Mixtures of SAL and Generalized Hyperbolic Distributions, International Federation of Classification Societies, Tilburg, The Netherlands, July 2013.
- ◆ Discussion of: "Posterior Confidence Intervals in Linear Calibration Problems", 1st International Workshop on Econometric Applications in Climatology, Guelph, ON, June 2013.
- ◆ Skewed Mixtures in Model-Based Classification, Skewed Statistical Models and Applications, McMaster University, ON, May2013.
- ◆ Recent Work on non-Gaussian Methods, MBC2: An International Workshop on Model-Based Clustering and Classification, Catania, Italy, September 2012.
- ◆ Mixtures of Generalized Hyperbolic Distributions, University of Washington Working Group on Model-Based Clustering, Guelph, ON, July 2012.
- ◆ A Modified BIC for Mixture Model Selection, Statistical Society of Canada Annual Meeting, Guelph, ON, June 2012.
- ◆ Clustering and Classification of High-dimensional Data via Modified t-factor Analyzers, ERCIM Working Group on Computing & Statistics, London, England, December 2011.
- ◆ Model-Based Clustering: The State of the Art , 2011 Symposium on Advances in Intelligent Systems, Waterloo, ON, December 2011.
- ◆ Model-based Clustering and Classification via Mixtures of Multivariate t-Distributions, CLADAG, Pavia, Italy, September 2011.
- ◆ Parameter Estimation in Model-Based Clustering, Statistical Society of Canada Annual Meeting, Wolfville, NS, June 2011.
- ◆ Model-Based Clustering: An Overview, Sensometrics 10, Rotterdam, Holland, July 2010.
- ◆ Model-Based Clustering via Mixtures of Multivariate t-Distributions, University of Washington Working Group on Model-Based Clustering, INRIA, Grenoble, France, July 2010.
- ◆ Clustering Strategies for Gene Expression Time Course Data, BioM&S Symposium, University of Guelph, ON, September 2009.
- ◆ Clustering Strategies for Large p, Small n, Statistical Society of Canada Annual Meeting, Vancouver, BC, June 2009.
- ◆ Model-Based Clustering of Longitudinal Data, University of Washington Working Group on Model-Based Clustering, Seattle, WA, July 2008.
- ◆ Parsimonious Gaussian Mixture Models: Some Computational Issues, University of Washington Working Group on Model-Based Clustering, Dublin, Ireland, July 2007.
- ◆ Parsimonious Gaussian Mixture Models, Royal Statistical Society International Conference, Belfast, Northern Ireland, September 2006.
Public Lecture
- ◆ The Barrington Lecture 2006/07, Association Rule Analysis of CAO Data, Statistical & Social Inquiry Society of Ireland, Dublin, November 2006.
Contributed Presentations at Conferences and Meetings
- ◆ Model-Based Clustering of Longitudinal Data, International Biometric Conference, Dublin, Ireland, July 2008.
- ◆ Des modeèles d'une grappe des données longitudindales / Model-based clustering of longitudinal data, Statistical Society of Canada Annual Meeting, Ottawa, ON, May 2008.
- ◆ Parsimonious Gaussian Mixture Models, Statistical Society of Canada Annual Meeting, St. John's, NL, June 2007.
- ◆ Parsimonious Gaussian Mixture Models, Conference of Applied Statistics in Ireland, Killarney, Ireland, April 2006.
- ◆ Parsimonious Gaussian Mixture Models, Young Statisticians Meeting, Edinburgh, Scotland, March 2006. Winner, RSS/Wiley Best Presentation Award.
- ◆ Association Rules, Conference of Applied Statistics in Ireland, Fermanagh, Northern Ireland, April 2005.
- ◆ Association Rules, Young Statisticians Meeting, Dublin, Ireland, March 2005.
Workshops
- ◆ Imputation of Data for Preference Segmentation in Incomplete Designs, Sensometrics 2014, Chicago, IL, July 2104.
- ◆ R for Bioinformaticians, IEEE Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Montreal, QC May 2010.
- ◆ Automatic Classification & Data Reduction for Food Authenticity Problems, PIMS / MITACS Graduate Industrial Mathematical Modelling Camp, Calgary, AB, May 2009.
- ◆ Detecting Important Animal Health Events, PIMS / MITACS Graduate Industrial Problem Solving Workshop, Calgary, AB, May 2009.
Seminars
- ◆ Using Subset Log-Likelihoods to Predict the Number of Outliers in Gaussian Mixture Models, McMaster University, December 2020.
- ◆ Problems, and Some Solutions, in Clustering, McMaster University, November 2019.
- ◆ Clustering Higher-Order Data, Trinity College Dublin, October 2019.
- ◆ Clustering Higher-Order Data, Binghamton University, NY, October 2019.
- ◆ Data Science, Classification and Three-Way Data, University of Windsor, ON, April 2019.
- ◆ Model-Based Clustering of Matrix Variate and Tensor Variate Data, Statistics Seminar, University of Alberta, AB, March 2019.
- ◆ Data Science, Classification and Clustering, MacEwan University, AB, March 2019.
- ◆ Matrix Variate Distributions and Clustering, Statistics Seminar, McMaster University, ON, December 2018.
- ◆ Clustering, Classification and Data Science, MacDATA Seminar, McMaster University, ON, November 2018.
- ◆ Clustering, Classification and Data Science, University College Dublin, October 2018.
- ◆ Clustering, Classification and Data Science, Queens University Belfast, October 2018.
- ◆ Experiences From an Industry Collaboration, University of Toronto, September 2018.
- ◆ Clustering Three-Way Data Using Mixture Models, University of Rochester, NY, March 2018.
- ◆ Cluster-Weighted Models and Machine Learning for Insurance Data, Arizona Actuarial Club, AZ, October 2017.
- ◆ Clustering via Mixture Models, Statistics Seminar, Arizona State University, AZ, October 2017.
- ◆ Clustering via Mixture Models, Statistics Seminar, Dalhousie University, NS, October 2017.
- ◆ Clustering via Mixture Models, Statistics Seminar, Wharton School, University of Pennsylvania, April 2017.
- ◆ Looking for Groups in Big Data, MacDATA Institute Seminar, McMaster University, November 2016.
- ◆ Clustering and Discriminant Analysis via Mixture Models. Statistics Seminar, Acadia University, March 2016.
- ◆ Mixture Model-Based Clustering, CSE/SHARCNET Seminar in Scientific Computing, McMaster University, March 2016.
- ◆ Model-Based Clustering: Past, Present and Future, Statistics Colloquium. Simon Fraser University, March 2016.
- ◆ Averaging and Asymmetry in Cluster Analysis, Statistics Seminar, University of Manitoba, September 2015.
- ◆ Contaminated Mixtures and Fractionally-Supervised Classification, Computational Science and Applied & Statistical Modelling Seminar Series, Wilfred Laurier University, October 2013.
- ◆ Recent Work on Non-Gaussian Methods, Statistics Seminar, McMaster University, April2013.
- ◆ Non-Gaussian Model-Based Clustering & Classification, Statistics Seminar , University of Toronto, November2011.
- ◆ Non-Gaussian Model-Based Clustering & Classification, Statistics Seminar , University of Waterloo, October2011.
- ◆ Model-Based Clustering, Classification and Discriminant Analysis via Mixtures of Multivariate t-Distributions, Statistics and Probability Seminar, University of Ottawa (joint with Carleton University), November2010.
- ◆ Recent Work in Model-Based Clustering & Classification, Statistics Colloquium Series, University of Windsor, March 2010.
- ◆ Clustering in Bioinformatics, Computational Statistics Seminar Series, University of Guelph, February 2010.
- ◆ Recent Work in Model-Based Clustering & Classification, Computational Mathematics Colloquium Series, University of Waterloo, January 2010.
- ◆ Recent Work in Model-Based Clustering & Classification, Biostatistics Seminar, University of Toronto, December 2009.
- ◆ On Clustering Gene Expression Time Course Data, Colloquium, Department of Statistical and Actuarial Sciences, University of Western Ontario, October 2009.
- ◆ Model-Based Classification and Variable Reduction, BioM&S Seminar Series, University of Guelph, February 2009.
- ◆ Clustering & Data Mining, Universite de Montreal, January 2009.
- ◆ Model-Based Clustering: An Overview, Biostatistics Seminar, McGill University, Montreal, October 2008.
- ◆ Model-Based Clustering of Longitudinal Data, Colloque de statistique de Montreal, McGill University, October 2008.
- ◆ Analysis of Gene Expression Time Course Data via Model-Based Clustering, Statistics Seminar, York University, Ontario, October 2008.
- ◆ Analysis of Gene Expression Time Course Data via Model-Based Clustering, BioM&S Seminar, University of Guelph, Ontario, September 2008.
- ◆ Model-Based Clustering: An Overview, Research Seminar, National University of Ireland, Galway, April 2008.
- ◆ Model-Based Clustering: An Overview, Colloquium, University of Guelph, February 2008.
- ◆ Standardizing the Lift of an Association Rule, Research Seminar, University College Dublin, Ireland, November 2007.
- ◆ Model-Based Clustering: An Overview, Research Seminar, McMaster University, October 2007.
- ◆ Standardizing the Lift of an Association Rule, Colloquium, University of Guelph, ON, Canada, September 2007.
- ◆ Parsimonious Gaussian Mixture Models, Colloquium, University of Guelph, ON, Canada, March 2007.