Probability & Statistics is the interdisciplinary study of theoretical probability, applied probaility, mathematical statistics, and applied statistics.
Research in Probability and Statistics at McMaster is highly interdisciplinary, and reaches beyond the department into the Faculties of Science, Medical, Engineering and Business. Research interests include: Theoretical Probability (large deviations, stochastic differential equations, martingales) Applied Probability (stochastic genetics, queueing systems) and Mathematical Statistics (inferential methods, model-validity, outliers, multivariate analysis) and Applied Statistics (environmental hazards, animal abundance, genetics, climatology, pharmaceutics, and mortality).
Order statistics, distribution theory
Epidemiology, ecology, applied statistics
Statistical inference, order statistics, outliers
Lifetime data analysis and statistical education
Stochastic processes, interacting particle systems
Combinatorial stochastic processes, random trees
Multi-view learning, Computational statistics, Generative models, Approximation theory, Spatial statistics.
Data science, evolutionary algorithms, high-dimensional problems, machine learning, mixture models
Classification, clustering, computational statistics, data science, machine learning, mixture models
Department of Mathematics & StatisticsMcMaster University Hamilton Hall, Room 218 1280 Main Street West Hamilton, Ontario, Canada L8S 4K1
Office Hours: 8:30 a.m. - 12:00 p.m. 1:00 p.m. - 4:30 p.m. Telephone Inquiries: +1 (905) 525-9140 ext.27034 Undergrad Email Inquiries: firstname.lastname@example.org