This repository contains solutions to theoretical excersises and programming assignments to the PhD course "Data-driven statistical modelling with optimisation" given by Tobias Rydén at the department of mathematics at Stockholm University in spring 2021.
Most of the excersises come from chapter 1-8 in "Statistical Learning with Sparsity: The Lasso and Generelizations" by Hastie, Tibshirani and Wainwright. Publicly available at https://web.stanford.edu/~hastie/StatLearnSparsity/.