This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business. This course is available as an outside option to students on other programmes where regulations permit and to General Course students.
This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business. This course is available as an outside option to students on other programmes where regulations permit and to General Course students.
This course will be delivered through a combination of classes, lectures, and Q&A sessions, totalling a minimum of 29 hours across the Lent Term. This year, some of this teaching may be delivered through a combination of classes and flipped-lectures delivered as short online videos. This course does not include a reading week and will be concluded by the end of week 10 of Lent Term.
Optional problem sets and computer exercises.
J.K. Kruschke, Doing Bayesian Data Analysis. An tutorial with R, JAGS and Stan. 2nd edition. J.O. Berger, Statistical Decision Theory and Bayesian Analysis. D. Gamerman, H. F. Lopes, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference A. Gelman, Bayesian data analysis.
Exam (80%, duration: 2 hours) in the summer exam period. Project (20%) in the ST.