Alexandre Leblanc

Research interests

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, and copulas.

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)