STAT4066 Bayesian Computing and Statistics
- 6 points
|Semester 1||UWA (Perth)||Face to face|
- This unit introduces concepts of Bayesian statistics and illustrates how to apply them to various areas of scientific research. Self-implemented algorithms and probabilistic programming languages (WinBugs, JAGS and/or Stan) are introduced, and the interfaces of the latter to the statistical computing and graphics environment R are discussed. Some computational aspects underlying these probabilistic programming languages are discussed to justify the framework of these algorithms. The algorithms are used, either directly or via their R interface, to fit statistical models within a Bayesian framework to real-world examples from many disciplines such as engineering, science (e.g. agricultural, biological, environmental, medical and physical), social sciences, economics, finance and astronomy.
- Students are able to (1) understand concepts of Bayesian statistics; (2) fit Bayesian models to their data using modern probabilistic programming languages; (3) implementation of standard Bayesian models from first principles; (4) critically assess fitted models; and (5) interpret and communicate results of Bayesian data analyses.
- Indicative assessments in this unit are as follows: (1) assignments; (2) in-semester tests; and (3) a final examination. Further information is available in the unit outline.
Supplementary assessment is only available in this unit in the case of a student who has obtained a mark of 45 to 49 and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course
- Unit Coordinator(s)
- Associate Professor Berwin Turlach
- Unit rules
- STAT1400 Statistics for Science;
STAT1520 Economic and Business Statistics;
MATH1002 Mathematical Methods 2;
MATH1020 Calculus, Probability and Statistics;
MATH1020 Calculus, Probability and Statistics
- STAT3405 Introduction to Bayesian Computing and Statistics
- Contact hours
- lectures: 2 hours per week; computer labs: 3 hours per fortnight; practical classes: 1 hour per fortnight
- Unit Outline
- Semester 1_2019 [SEM-1_2019]
- The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
- All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
- Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.