Instructor: Krishnakumar Balasubramanian
Introduce the mathematics behind computational statistics.
Understanding the main principles behind the computational algorithms used in statistics.
Introduce the interplay between statistics and computation.
Discussion 1: Introduction to Python Programming, Homework and LaTeX STA243 Discussion 1.ipynb
Discussion 2: Power Method and Sketching STA243 Discussion 2.ipynb
Discussion 3: Convex Optimization STA243 Discussion 3.ipynb
Discussion 4: Stochastic Gradient Descent STA243 Discussion 4.ipynb
Discussion 5: Subgradient and Proximal Gradient Method STA243 Discussion 5.ipynb
Discussion 6: EM algorithm STA243 Discussion 6.ipynb
Discussion 7: EM algorithm (Cont. ) STA243 Discussion 7.ipynb
Discussion 8: Rejection Sampling and Monte Carlo method STA243 Discussion 8.ipynb
Discussion 9: Importance sampling and Metropolis-Hastings Algorithm STA243 Discussion 9.ipynb