Bayesian Functional Factor Model for EEG-Based Brain-Computer Interfaces

Meta-Learning in Metric Spaces

Experiments for Meta-Learning in Metric Spaces

Bayesian Fréchet Regression

Experiments accompnying the LSVCMM paper

Locally Sparse Varying Coefficients Mixed Model

Network Node Variable Imputation

Experiments accompanying the LSVCMM

Experiment Management with batchtools (R) and pypet (Python)

Simulation code for the aMTM article (Fontaine and Bédard, 2020+)

UM Stats Prep Workshop 2021

Kernel Logistic Regression

601 Project

Examples of speeding up R with C++ and FORTRAN

Adaptive Multiple-Try Metropolis algorithm

Mutli-task regression with sparse group regularization using a proximal ADMM