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Home>profiles>alexandreleblanc

Alexandre Leblanc

Profile
Alexandre Leblanc
nonparametric function estimation, statistical depth and their applications, sports analytics
Assoc. Head UG-Programs/Professor
(204) 474-6273
Alex.Leblanc@umanitoba.ca

Research and Teaching Interests

Alex Leblanc joined the Dept. of Statistics in July 2003. Before coming to Winnipeg, he did all of his studies at the Université de Montréal, in the Département de Mathématiques et de Statistique, where he obtained his Ph.D. in Statistics in the fall of 2002. He worked under the supervision of J.-F. Angers, which makes him an academic grandson of James O. Berger. His thesis focused on the use of wavelets in Bayesian calculation and empirical Bayes estimation.

Alex was an untenured Assistant Professor from July 2003 to March 2010. He was promoted to Associate Professor on March 30, 2010 and tenured on July 1 of the same year.

Research interests generally include: nonparametric function estimation, statistical depth, semi-parametric methods in regression, sparse multinomial data and contingency tables, asymptotics, Bayesian methods, computational statistics, robustness, complex analytics, copulas.

Office Hours for Winter 2020: Tuesday, 9:30 to 11:00, and Friday, 10:30 to 12:00.

Courses taught

In Winter 2020: STAT 3400.

Recently taught courses (since 2015) include:

  • STAT 2400, Introduction to Probability I (Fall 2019)
  • STAT 3050, Applied Probability (Winter 2016)
  • STAT 3400, Introduction to Probability II (Winter 2017, Fall 2018, Winter 2019)
  • STAT 3800, Mathematical Statistics (Winter 2015)
  • STAT 4600, Computational Statistics (Winter 2015, Fall 2016, Winter 2018)
  • STAT 7350, Nonparametric Function Estimation (Winter 2015)
  • STAT 7360, Computational Statistics and Sports Analytics (Winter 2018)
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