STAT 248 - Couplings and Monte Carlo Learning Course

[STAT 248 - Couplings and Monte Carlo Learning Course] STAT 248 - Couplings and Monte Carlo STAT 248 introduces students to couplings and Monte Carlo methods, focusing on advanced techniques for simulation and statistical inference. The course covers topics such as Markov chain Monte Carlo (MCMC), coupling from the past, perfect simulation, and applications in Bayesian statistics and computational physics. Emphasis is placed on understanding how to design efficient Monte Carlo algorithms, generate random samples from complex distributions, and estimate expectations and probabilities. Through theoretical foundations and computational exercises, students gain skills in implementing Monte Carlo methods, assessing convergence, and applying simulation techniques to solve challenging statistical problems in fields such as genetics, climate science, and machine learning.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.