Asymptotic Statistics
Asymptotic Statistics
''Methodes asymptotiques'' (STT6300) taught at UdeM at Fall 2019, Fall 2021, Fall 2024
mostly worked with Ferguson's A Course in Large Sample Theory
MSc/PhD course preparing for the qualifying exam for PhD in Statistics
some notes (in French), assignment, midterm and final exams (all in French)
''Régression'' (STT6415) taught at UdeM at Winter 2019, Winter 2020, Winter 2021, Winter 2023, Winter 2024
text: A Distribution-Free Theory of Nonparametric Regression by Györfi, Kohler, Krzyżak and Walk
MSc/PhD course
explore various topics in regression (mostly non-parametric) with goal to obtain minimax convergence rates
course notes
Optimality of Least Squares estimator (using Wainwright's High-Dimensional Statistics)
Midterm and final exams, Exercices, Assignment 1, Assignment 2 (all in French)
''Apprentissage statistique'' (STT3790) taught at UdeM at Fall 2020, Fall 2021, Fall 2023, Fall 2024
undergrad course (Final year)
course notes (all in French)
Midterm and final exams, Assignment 1, Assignment 2 (all in French)
''Régression linéaire'' (STT2400) taught at UdeM at Winter 2019, Winter 2020, Winter 2021, Winter 2022
undergrad course (Second year)
illustrates the concepts of statistical inference on a simple model with the powerful tools of linear algebra
course notes including exercises, labs and exams (in French)
''Probabilités et statistique'' (MAT1978) taught at UdeM at Fall 2023 and Winter 2025
undergrad course (First year), mostly for Computer Science students
introduce elementary notions of Probability theory through simulations and examples and how the science of Statistics is built on them
course on blackboard following the sequence: sets, events, counting, random variable, distribution, data, statistical model, statistic and estimation