Bayesian Modelling and Analysis – Canberra

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The Canberra Branch of the Statistical Society is pleased to present the workshop:

Bayesian Modelling and Analysis

with Professor Kerrie Mengersen.

About the Presenter

Professor Mengersen is a Professor of Statistics in the School of Mathematical Sciences and Institute for Future Environments at QUT. She has around 25 years of experience in statistical modelling, analysis and computation, with particular focus on applications in health, environment and industry. Her expertise includes analysis and integration of complex datasets, encapsulation and effective use of expert information, spatio-temporal analysis and complex systems modelling. In addition to academic outputs comprising over 250 journal articles, she has a continuous record of commercial consultancies with selected relevant clients including Corrs Chambers Westgarth (risk), Goronickel (design), Qld Environmental Protection Agency and Healthy Waterways (water quality), Port of Brisbane (prediction), Qld Dept Natural Resources (environmental statistical modelling and analysis), Western Mining Company (analysis) and Dairy Australia (triple bottom line sustainability). Professor Mengersen is a Deputy Director of the ARC Centre of Excellence in Mathematical and Statistical Frontiers for Big Data, Big Models and New Insights (ACEMS), and an ARC Laureate Fellow.

About the event

Bayesian modeling 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.

This two-day workshop starts with theoretical and practical material at introductory level, then moves on to expand the fundamental concepts, advanced modeling in a Bayesian context, using Markov chain Monte Carlo (MCMC) and ‘doing’ Bayesian analysis via the software. Some familiarity with Bayesian Statistics is required. Participants are expected to be familiar with statistical fundamentals, some Bayesian concepts or MCMC approaches. Exposure to any programming language, in particular R, is ideal.

Feedback from our workshop with Professor Mengersen on  Intermediate Bayesian Statistics in Melbourne in July 2016: “It was a great workshop. The presenter was excellent.”


Cost (including morning and afternoon tea)

Early Bird (Payment before or on 12 August 2016)
SSA Members                                        $500.00
Non-members of SSA                            $700.00
Full time students ** :
SSA Student members                          $300.00
Non-member students ***                      $350.00

Regular Fees (Payment after 12 August 2016)
SSA Members                                         $570.00
Non-members of SSA                              $800.00
Full time students**:
SSA Student members                           $350.00
Non-member students ***                       $400.00


***The annual membership fee is $235.00. Student membership is available for $20.00 annually to full-time students. To join, please click here. Student members will be required to present proof of their full time student status after membership registration.


** Proof of Valid Full-time Student Status will be requested after workshop registration

Registrations close on 9 September 2016. Should places still be available and registrations accepted after 9 September 2016 there will be a late fee of $100 p/P in addition to the regular fees above.


IT Requirements

Participants are requested to bring a laptop with the following software loaded:

-R/R Studio


Travel Expenses

Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.

Cancellation Policy

Cancellations received prior to Monday,  12 September 2016 will be refunded, minus a $20 administration fee.

From 12 September 2016 no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to [email protected].





Bayesian Modelling and Analysis - Canberra
When: 19/09/2016 - 20/09/2016
Time: 9:00 am - 5:00 pm
Cost: from $300.00 (students)
Location: ANU College of Business & Economics, Allan Barton Forum, Room 248, Building 26C,
Level2, Kingsley Street,
ACT 0200

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