Bayesian Analysis for Machine Learning and Uncertainty Quantification

3 Credits

This course emphasizes Bayesian methodology for modeling, inference and prediction using hierarchical/multilevel models, with particular emphasis on computation (Monte Carlo and its flavors) and applications (inference and prediction in models for regression and classification, potentially with various types of statistical dependence) as intended for Master’s and doctoral students in data sciences and engineering.