Presented by Kerrie Mengersen, Centre for Data Analysis, Modelling & Computation, QUT
28-30 July 2010
QueenslandUniversity of Technology
Registration begins at 8.30am on the first day and the course runs from 9.00am until 5.00pm.
Course Summary:
Bayesian modelling and data analysis are becoming a standard part of the statistical toolkit. Its appeal includes the availability of hierarchical models for better describing complex systems, the use of priors to describe uncertainty and include external information in the analysis, and the direct probabilistic interpretation of the results.
While simple Bayesian models can be analysed analytically, most analysis is via Monte Carlo methods such as Markov chain Monte Carlo. There is a great range of MCMC algorithms available now for Bayesian computation.
This three-day course introduces the practising statistician to Bayesian analysis. The course is strongly practical, with emphasis on understanding the fundamental concepts, modelling in a Bayesian context, using MCMC and ‘doing’ Bayesian analysis via the software package WinBUGS.
Please note that this course is strongly introductory and will only proceed if there are 20 or more participants.
Learning Outcomes:
Attendees will gain a basic understanding the fundamental concepts, modelling in a Bayesian context, using MCMC and ‘doing’ Bayesian analysis via the software package WinBUGS. Participants will be introduced to a range of models for describing complex data, including mixtures, spatio-temporal models, meta-analysis and Bayesian networks, and the application of these models to real problems in health, environment and genetics.
Practising statisticians wanting to learn and apply the fundamentals of Bayesian analysis or researchers in other disciplines with a statistical knowledge equivalent to 2 years of undergraduate study.
Basic statistical knowledge, and statistical computing but no knowledge of Bayesian methods.
Course Format:
The course will be split between teaching, demonstration and practical exercises using WinBUGS.
Cost for the course:
Members of the SSAI: $825.00
Non-Members: $1050.00
Student Members SSAI: $500.00
Non-Member Students: $525.00
For non-members, the workshop fee includes a complimentary one-year membership with the SSAI.
Places for students are limited.
If you are interested in attending this workshop, please fill in the online registration form. Please note that if you wish to take advantage of the members' price, you will need to be logged in as a member. Non-Member students cannot register online - they'll need to download the registration form.
Would you please note that the SSAI Office will be closed from 8 July until 19 July 2010. No manually produced receipts will be issued during this time (if you register by email or fax). However, automatically generated confirmations and receipts will be emailed immediately after online registrations.
Directions to the Workshop Venue
(QUT)
If you have any questions, please contact the SSAI Office at eo@statsoc.org.au.
Further details will be given on confirmation to the course.
Cancellation Policy
Cancellations received prior to 21 July 2010 will be refunded in full. After this date, no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au.