This course is about advanced statistical models and computing methods essential for applications in data science. The topics include advanced topics in linear regression, causal inference, logistic regression, discrete choice models, generalized linear models, mixed-effects models, bootstrap, EM-algorithm, Bayesian analysis and MCMC method. Syllabus (2020 Spring).pdf
