AutoStat Research Week 2019: Frontiers in Research and Practice in Statistics
The QUT Centre for Data Science and the Predictive Analytics Group are pleased to present a one-day research symposium showcasing some of Australia’s best research in data science, bookended by two days of hands-on training for researchers in the new web-based statistical analysis software, AutoStat.
This workshop will be hosted at the QUT Kelvin Grove Campus over 3 days from Monday 14 October 2019 to Wednesday 16 October 2019.
Registrations are essential. So secure your spot here: https://www.eventbrite.com/o/predictive-analytics-group-amp-qut-centre-for-data-science-27301744727
Hosted by Distinguished Professor Kerrie Mengersen, Professor of Statistics at QUT, ARC Laureate Fellow and Fellow of the Australian Academy of Sciences, this exclusive 3 day workshop will explore frontiers in statistical research and provide hands-on training for statisticians and data scientists using real-world case studies. We will hear from renowned leaders in statistical research, outlining their contributions across a range of research fields, and the application of Bayesian statistics.
In addition to interactive case studies and talks from leaders in the field, attendees will be invited to undertake hands-on statistics and machine learning workshops using the world’s most advanced data science platform, AutoStat.
AutoStat is a web-based data science platform developed by Predictive Analytics Group (http://pa-group.com.au/), providing access to a suite of statistical, machine learning and artificial intelligence algorithms, all in one application (https://autostat.com.au). AutoStat seamlessly integrates the entire process, from visualisation and data querying to statistical modelling and analysis, all within a single application, and without needing a programming background.
Thanks to AutoStat, researchers from different backgrounds and fields can access the most advanced statistical and machine learning frameworks; apply both Frequentist and Bayesian approaches, optmise their models and automate quantitative projects without writing a single line of code!
Guest speakers include:
Prof Matt Wand, Distinguished Professor of Statistics at University of Technology Sydney
Prof Gael Martin, Professor of Econometrics at Monash University
Prof Sally Cripps, Professor of Statistics and Director of the Centre for Translational Data Science at the University of Sydney
Prof Adrian Barnett, Professor of Public Health at QUT, and President of the Statistical Society of Australia
Prof Geoff Webb, Professor of Data Science & AI at Monash University and Director of the Monash University Centre for Data Science
Assoc Prof Richi Nayak, Professor of Data Science at QUT, and steering committee member of the Australasian Data Mining community.
Assoc Prof Chris Drovandi, Associate Professor in the School of Mathematical Sciences at the Queensland University of Technology (QUT) and is an Associate Investigator of ACEMS.
Dr Cathy Hargrave, PhD (Radiation Therapy Research) and Research Fellow at QUT
Dr Gentry White, Senior Lecturer at the Queensland University of Technology Mathematical Sciences School, and Associate Investigator in the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)
Dr Insha Ullah, Senior Research Associate in Statistical Modelling and Analysis at QUT
Workshop Program:
Monday 14th October 2019
Hands-On AutoStat: Introductory Level
| 8:30-9:00 | Registration |
| 9:00-9:30 | AutoStat Overview: Overview of software and course outline |
| 9:30-10:30 | Case Study 1: Linear regression from Bayesian and Frequentist perspectives. This will include variable selection/shrinkage techniques such as Lasso, Elastic net, stochastic search variable selection and the horseshoe prior. |
| 10:30-11:00 | Morning tea break |
| 11:00-12:30 | Case studies using AutoStat. Complete Case Study 1. Explore generalised linear models, mixed models (linear and probit) using additional case studies. |
| 12:30-1:30 | Lunch break |
| 1:30-2:30 | Prof. Adrian Barnett: Acronyms in research papers are at an ATH |
| 2:30-3:00 | Afternoon tea break |
| 3:00-3:30 | Dr Gentry White: Modelling terrorism |
| 3:30-4:00 | Open discussion |
Tuesday 15th October 2019
Research Briefs: Frontiers in Data Science
| 9:00-9:30 | Distinguished Prof. Kerrie Mengersen: Welcome |
| 9:30-10:00 | Assoc Prof. Richi Nayak: Ranking centred document clustering |
| 10:00-10:30 | Dr Cathy Hargrave: Applying statistical models to develop clinical tools for radiation therapy |
| 10:30-11:00 | Morning tea break |
| 11:00-12:00 | Prof. Matt Wand: Variational message passing for elaborate response regression models |
| 12:00-12:30 | Dr Insha Ullah: A simple yet effective variable selection method suitable for high-dimensional datasets |
| 12:30-1:30 | Lunch break |
| 1:30-2:30 | Prof. Sally Cripps: Zen and the Art of Bayesian Geology |
| 2:30-3:00 | Afternoon tea break |
| 3:00-3:30 | Assoc Prof. Chris Drovandi: Efficient parameter estimation for complex simulation-based generative models |
| 3:30-4:00 | Prof. Geoff Webb: Highly scalable graphical modelling |
| 4:00-5:00 | Prof. Gael Martin: Focused Bayesian Prediction |
| 5:00-6:00 | Networking |
| 6:00-late | Dinner |
Wednesday 16th October 2019
Hands-On AutoStat: Intermediate Level
| 8:30-9:00 | Registration |
| 9:00-9:30 | Recap of software and Day 1 |
| 9:30-10:30 | Intermediate level models using case studies. This session will explore mixture models, time series models and spatial models. |
| 10:30-11:00 | Morning tea break |
| 11:00-12:30 | Machine Learning, Pipelines and Dashboards |
| 12:30-1:30 | Lunch break |
| 1:30-3:30 | What’s your problem? This session will allow for general discussion about participants’ own case studies. |
| 3:30 | Close |
Bayesian Research & Applications Group 