Welcome to the Computational Statistics home page at the Department of Mathematics and Statistics, University of Guelph. Computational Statistics is that branch of statistics that involves the development of computationally-intensive statistical methodologies and examples include developments in Monte Carlo methods and variations of EM algorithms. Areas of application within the group include genetic epidemiology, modeling infectious diseases, bioinformatics and food authenticity studies.
The main purpose of the group is to provide a venue for those actively engaged in methodological research in computational statistics to exchange ideas. The principal venue for this exchange is the biweekly seminar series that takes place in the fall and winter semesters. All are welcome to attend these seminars and if you are interested in giving a talk then you should contact Prof. Paul McNicholas (for Fall 2009) or Prof. Rob Deardon (for Winter 2010).