Online Materials

Tutorials

• Constrained Optimization, 2020.

• Introduction to R with the R Markdown source for compilation, 2018. 

• Multivariate Calculus and Statistics, 2018.

• Basics of Measure Theory, 2018.

Generalized Linear Model (GLM)

• Generalized Linear Model (GLM), 2020.

• Linear Mixed Model (LMM), 2019.

• Expectation-Maximization (EM) Algorithm, 2019.

• Iterative Reweighted Least Squares (IRLS), 2019.

Statistical Learning Theory

• Concentration of Lipschitz Functionals, 2020.

• Glivenko-Cantelli (GC) Theorems, 2020.

• A Gaussian Comparison Lemma, 2017.

Measure Theory and Probability

• Hadamard Differentiability, 2017.

• Convergence in D Space, 2017.

• Scaling Limits of Random Trees, 2016.