Overview
MATH5960 is a Honours and Postgraduate Coursework Mathematics course.
Units of credit:听6
Exclusions:聽MATH3871 (jointly taught with MATH5960), ZZSC5960
Cycle of offering:聽Term 3聽
Graduate attributes:聽The course will enhance your research, inquiry and analytical thinking abilities.
More information:聽聽The Course outline will be made available closer to the start of term - please visit this website: www.unsw.edu.au/course-outlines
Important additional information as of 2023
UNSW Plagiarism Policy
The University requires all students to be aware of its聽.
For courses convened by the聽School of Mathematics and Statistics no assistance using generative AI software is allowed unless specifically referred to in the individual assessment tasks.
If its use is detected in the no assistance case, it will be regarded as serious academic misconduct and subject to the standard penalties, which may include 00FL, suspension and exclusion.
罢丑别听聽contains聽information about the course. The timetable is only up-to-date if the course is being offered this year.
If you are currently enrolled in MATH5960, you can log into聽聽for this course.
Course overview
After describing the fundamentals of Bayesian Inference this course will examine specification of prior distributions, links between Bayesian and frequentist inference, Bayesian model comparison and Bayesian computational methods. Markov chain Monte Carlo (MCMC) methods for computations will be described and implemented using statistical packages including WinBUGS.
We will illustrate the advantages of the Bayesian approach by describing Bayesian inferential methods for a variety of models, including linear models and various kinds of hierarchical structured models including mixture models.