Welcome to the Department of Statistics and Actuarial Science

The Department of Statistics and Actuarial Science is a top tier academic unit among statistical and actuarial science globally. Our students and faculty explore topics such as Actuarial Science, Biostatistics, Data Science, Quantitative Finance, Statistics, & Statistics-Computing. Our department is home to:

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full-time faculty researching diverse and exciting areas

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undergraduate students from around the world

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 graduate students in Master, Doctoral, and professional programs

Interested in graduate studies with Statistics and Actuarial Science? Meet Mingyu (Bruce) Feng, a PhD student in actuarial science. Bruce is a pioneer researcher in the field of sustainable investment and the impact of climate change. Learn more about furthering your education on the Future Graduate page on the Math site.

  1. Oct. 12, 2021Stefan Steiner awarded the 2021 Don Owen Award from the American Statistical Association's San Antonio Chapter
    Stefan Steiner

    The American Statistical Association's San Antonio Chapter recently distinguished Stefan Steiner with the 2021 Don Owen Award. The award was presented at the 2021 Conference of Texas Statisticians, held virtually on October 9 and hosted by Texas Tech University.

    The accolade is given annually to a statistician who embodies the three-fold accomplishments of Dr. Donald B. Owen. Owen excelled in the areas of research, statistical consultation, and service to the statistical community.

  2. Oct. 8, 2021Christiane Lemieux Appointed Associate Dean Operations and Academic of the Faculty of Mathematics
    Christiane Lemieux
    Professor Christiane Lemieux of the Department of Statistics and Actuarial Science is appointed Associate Dean Operations and Academic of the Faculty of Mathematics, starting January 1, 2022, for a 3-year term.
  3. Sep. 24, 2021Richard J. Cook named fellow of the Royal Society of Canada
    Richard J. Cook

    Richard J. Cook, a professor in the Department of Statistics and Actuarial Sciences, has been named a fellow the Royal Society of Canada (RSC). The prestigious RSC award accentuates Cook’s storied academic career and voluminous research portfolio.

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  1. Oct. 28, 2021Department seminar by Ping-Shou Zhong

    Please Note: This seminar will be given online.

    Statistics & Biostatistics seminar series

    Ping-Shou Zhong
    University of Illinois Chicago (UIC)

    Link to join seminar: Hosted on Zoom

    Unified Tests for Nonparametric Functions in RKHS with Kernel Selection and Regularization
  2. Oct. 29, 2021Department seminar by Jan Dhaene

    Please Note: This seminar will be given online.

    Actuarial Science and Financial Mathematics seminar series

    Jan Dhaene
    KU Leuven

    Link to join seminar: Hosted on Zoom


  3. Nov. 4, 2021David Sprott Distinguished Lecture by Christian Genest
    Christian Genest

    Please Note: This seminar will be given online.

    Distinguished Lecture Series

    Christian Genest, Canada Research Chair in Stochastic Dependence Modeling, Professor
    McGill University

    Bayesian Hierarchical Modeling of Spatial Extremes

    Climate change and global warming have increased the need to assess and forecast environmental risk over large domains and to develop models for the extremes of natural phenomena such as droughts, floods, torrential precipitation, and heat waves. Because catastrophic events are rare and evidence is limited, Bayesian methods are well suited for the areal analysis of their frequency and size. In this talk, a multi-site modeling strategy for extremes will be described in which spatial dependence is captured through a latent Gaussian random field whose behavior is driven by synthetic covariates from climate reconstruction models. It will be seen through two vignettes that the site-to-site information sharing mechanism built into this approach does not only generally improve inference at any location but also allows for smooth interpolation over large, sparse domains.

    The first application will concern the quantification of the magnitude of extreme surges on the Atlantic coast of Canada as part of the development of an overland flood protection product by an insurance company. The second illustration will show how coherent estimates of extreme precipitation of several durations based on a Bayesian hierarchical spatial model enhance current methodology for the construction, at monitored and unmonitored locations, of IDF curves commonly used in infrastructure design, flood protection, and urban drainage or water management.

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Meet our people

Christian Boudreau

Christian Boudreau

Research Associate Professor

Contact Information:
Christian Boudreau

Research interests

Professor Boudreau's research interests include survival analysis, event history analysis, survey sampling, and longitudinal data.