Schedule

Date Topics Readings
Tue, Jan 6 Overview. Probabilistic inference on discrete spaces. BDA 1.1-1.10
Th, Jan 8
Tue, Jan 13 A tour of Bayesian inference (on discrete spaces). BDA 2.1-2.5
Th, Jan 15
Tue, Jan 20 Universal probabilistic inference via importance sampling. BDA 9.1-9.5 (going further on Decision Theory)
Th, Jan 22
Tue, Jan 27 Bayesian classification, regression, GLMs, and beyond. BDA 14.1-14.5
Th, Jan 29
Tue, Feb 3 Properties of Bayesian models. BDA 4.1-4.5
Th, Feb 5
Tue, Feb 10 Hierarchical models. BDA 5.1-5.7
Th, Feb 12
Tue, Feb 18 Reading week. BDA 16.1-16.7
Th, Feb 19 Reading week.
Tue, Feb 24 Quiz 1.
Th, Feb 26 Quiz debrief. Stan basics. Project logistics.
Tue, Mar 3 MCMC user guide (via Stan). BDA 11.1-11.6
Th, Mar 5
Tue, Mar 10 Bayesian workflow. BDA 6.1-6.5
Th, Mar 12
Fri, Mar 13 Project proposal due.
Tue, Mar 17 Modelling techniques (selected from prior design, mixtures, imputation, complex data collection). BDA 8.1-8.7
Th, Mar 19
Tue, Mar 24 Quiz 2.
Th, Mar 26 MCMC developer guide.
Tue, Mar 31 MCMC developer guide. BDA 12.1-12.6
Th, Apr 2
Tue, Apr 7 More inference techniques. BDA 13.7
Th, Apr 9
Sat, Apr 18 Final project due.