Pacific Institute for the Mathematical Sciences - PIMS

Drawing inference without directly relevant data

Highlights of the speaker's statistical research of the past 40 years will be presented. A common thread of his contributions to expert use, dependence modeling, and risk assessment is the development of methods for situations where direct observations are unavailable. Applications to fields such as insurance and environment sciences will be sketched.

Speaker Biography:

Prof. Christian Genest is one of the leading statisticians in Canada, whose work has had dual impact on both theory and real-world applications. He is best known for his contributions to multivariate analysis and was a pioneer in the expansive use of copula models in science. Together with a few close collaborators, he combined nonparametric methods and the asymptotic theory of empirical processes to design a broad array of rank-based inference tools for building, selecting, fitting, and validating stochastic models within this class. Additionally, Genest has contributed to group decision making, prioritization techniques, multivariate extreme-value theory and, most recently, to space-time modeling of rare events in environmental science.

About the Prize: 

The CRM-Fields-PIMS prize is the premier Canadian award for research achievements in the mathematical sciences. It is awarded jointly by the three largest Canadian mathematics institutes: the Centre de recherches mathématiques (CRM) in Montréal, the Fields Institute in Toronto, and the Pacific Institute for the Mathematical Sciences (PIMS) in Vancouver. This annual prize comes with a monetary award.

More details on the lecture will be confirmed soon. 

This hybrid lecture will be delivered at the Fields Institute on April 20, 2023, and will be broadcasted across the PIMS network.

Please register via the Fields website to receive the meeting details. 

For UBC participants, the lecture will also be screened at ESB 4133 at 2.30pm. Light refreshments will be served beginning 2pm.