Professor Kerrie Mengersen and the Victorian Branch of the Statistical Society are pleased to present the workshop
INTERMEDIATE BAYESIAN STATISTICS
in Melbourne on 11 -12th July 2016.
Mercure Hotel CBD, 195 Swanston Street, Melbourne
About This Workshop
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 intermediate course is theoretical and practical, with emphasis on expanding the fundamental concepts, advanced modeling in a Bayesian context, using Markov chain Monte Carlo (MCMC) and ‘doing’ Bayesian analysis via the software. 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.
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.
Participants are requested to bring a laptop with the following software loaded:
Bayes II: Intermediate course
More about the workshop:
Bayesian modelling and analysis is now part of the standard toolkit of statisticians and machine learners. These tools include a wealth of modelling approaches, computational algorithms and possible inferential insights. The aim of this course is to extend the skills and knowledge base of statisticians and practitioners who know a bit about Bayesian modelling but want to know more. The course will be a mix of presentations and practical sessions. The focus is on methods and applications rather than theory, although some references to foundation concepts will be made. Participants should gain skills in building Bayesian models, Bayesian computation using R, INLA and STAN, and Bayesian inferential thinking.
Participants will be expected to have some experience in statistical modelling and analysis, and in Bayesian methods.
The course builds on a ‘Bayes for Beginners’ short course that covers early concepts of constructing a hierarchical Bayesian model, Bayesian computation via MCMC, and practical sessions using Winbugs, Openbugs and R.
The course will focus on the use of R, INLA and STAN.
The course will cover the following topics:
Reviewing and extending Bayesian hierarchical modelling
More complex Bayesian models: analysing spatio-temporal data and mixture models
Thinking harder about priors
Making Bayesian inferences
Beyond Gibbs sampling: MCMC and approximate methods for Bayesian computation
‘Doing Bayes’: practical sessions in R, INLA and STAN
Reading and writing Bayesian papers
SSA Members – $480
SSA Student Members** – $300
Non-SSA Members – $700
Non-SSA Student Members** – $330
Includes materials and refreshments.
Bookings will open on Tuesday, 26 April 2016 and close strictly on Wednesday, 29 June 2016. The SSA Office will be closed from 30 June until 11 July so no registrations can be processed during this time.
** Proof of Valid University ID required
Please address any enquiries to the VIC Branch of the Statistical Society: firstname.lastname@example.org.
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 SSAI will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.
Cancellations received prior to Wednesday, 29 June 2016 will be refunded, minus a $20 administration fee.
From 29 June 2016 no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to email@example.com.
|When:||11/07/2016 - 12/07/2016|
|Time:||9:00 am - 5:00 pm|
|Cost:||from $300 (students)|
195 Swanston Street,