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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. Sep. 29, 2020Congratulations David Saunders for his new appointment at the Fields Institute
    David Saunders

    Statistics and Actuarial Science is proud to announce that David Saunders was appointed Director of the Centre for Financial Industries at the Fields Institute.

  2. Sep. 1, 2020The Department of Statistics and Actuarial Science is pleased to welcome Glen McGee as an Assistant Professor
    Glen McGee

    Glen McGee holds a PhD in biostatistics from Harvard University. He is interested in developing statistical tools to solve problems in epidemiology, environmental health, and health policy. Currently, Glen is working on Bayesian frameworks for modelling multi-pollutant mixtures, corrections for informative presence in electronic health records, and designs for multigenerational studies.

  3. Aug. 4, 2020Matthias Schonlau elected fellow of the American Statistical Association
    Matthias Schonlau

    Professor Matthias Schonlau of the Department of Statistics and Actuarial Science has been elected a Fellow of the American Statistical Association (ASA). His citation reads: "For notable contributions to survey methodology in both industry and academia, for serving as a connector between statistics and the social sciences via accessible publications, education, and software, and for service to the profession."

    The designation of ASA Fellow has been a significant honor for nearly 100 years. Under ASA bylaws, the Committee on Fellows can elect up to one-third of one percent of the total association membership as fellows each year.

Read all news
  1. Oct. 1, 2020Department Seminar by Ashley Petersen

    Please Note: This seminar will be given online.

    Statistics and Biostatistics Seminar Series

    Ashley Petersen
    University of of Minnesota

    Link to join seminar: Hosted on Webex.

    Data-Adaptive Regression Modeling in High Dimensions

  2. Oct. 2, 2020Department Seminar by Emiliano Valdez

    Please Note: This seminar will be given online.

    Actuarial Science and Financial Mathematics Seminar Series

    Emiliano Valdez, Professor
    University of Connecticut

    Link to join seminar: Hosted on Webex.

    Analysis of Prescription Drug Utilization with Beta Regression Models

  3. Oct. 7, 2020Department Seminar by Pieter Allaart, University of North Texas

    Please Note: This seminar will be given online.

    Probabilty Seminar Series

    Pieter Allaart, Professor
    University of North Texas

    On univoque and strongly univoque sets

All upcoming events

Meet our people

Mary Thompson

Mary Thompson

Distinguished Professor Emerita

Contact Information:
Mary Thompson

Research interests

Professor Thompson works primarily in survey methodology and sampling theory. Her book Theory of Sample Surveys describes the mathematical and foundational theory in detail; it also contains a systematic approach to using estimating functions in surveys, and a thorough discussion (with examples) of the role of the sampling design when survey data are used for analytic purposes.

Estimation for stochastic processes has been another theme of her research. These twothemes come together in aspects of inference from complex longitudinal surveys. Issues in the design of longitudinal surveys to support causal inference are central to work on the International Tobacco Control Survey, with which Professor Thompson has been involved since 2002. She studies the application of multilevel models and longitudinal models with time-varying covariates to complex survey data, including the best ways to adapt the estimating functions systems for use with survey weights, and the use of resampling techniques to provide accurate interval estimates.

She is also currently collaborating on projects in survival and multistate models and the design of behavioural interventions on random networks.