Cannot be taken with: MAS364
Aims/Description: This module introduces the Bayesian approach to statistical inference. The Bayesian method is fundamentally different in philosophy from conventional frequentist/classical inference, and has been the subject of some controversy in the past, but is now widely used. The module also presents various computational methods for implementing both Bayesian and frequentist inference, in situations where obtaining results `analytically' would be impossible. The methods will be implemented using the programming languages R and Stan, and some programming is taught alongside the theory lectures.
Restrictions on availability: For students on MASU02, MASU39, MASU10, MASU12, MASU13, MASU14, MASU15, MASU41, MASU43: pre-requisite module is MAS223 Statistical Modelling
Information on the department responsible for this unit (Mathematics and Statistics):
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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.