This meetup is for everyone in the field of Timeseries Forecasting and Event Analytics. We regularly present you with top tier speakers and fantastic networking opportunities. Our talks are technical and usually show new ways of getting better results, cost/time savings and new model classes. If you like learning (or teaching) innovative methods in our field, then you are one of us - see you soon!
Come to our next event, up-skill, meet like-minded people, talk shop, have fun. Showcase your work and be recognised for your achievements, feel the high of a well-received talk.
We are pleased to have Dr Chris Strickland, Chief Statistician at Predictive Analytics Group, present on forecasting of multivariate time series. In particular, unequally spaced time series at irregular frequencies, with reference to real world business applications - including horse racing.
Chris will talk to us on the application of multivariate time series models in real-world applications, with primary focus given to a recent case study, where his team assisted Racing Victoria in the annual scheduling of 450 race meetings across 72 venues. The methodology was used to refine the schedule of events by maximising predicted turnover for each meeting. We will learn about some of the challenges Chris and his team faced on a technical level, such as dealing with unbalanced and infrequent data; and how they overcame these issues.
Included in this talk:
- When Bayesian time series models work better.
- Some examples of improved forecasting by using appropriate priors.
- Automatic selection of components in UCMs.
- Modelling change points - with live examples.
About the Speaker:
Dr Chris Strickland is the Chief Statistician at Predictive Analytics Group. Prior to joining PAG, Chris led the credit risk modelling team at the Bank of Queensland and formerly held Senior Research fellow positions at UNSW and QUT and lecturing positions at UQ and UNSW, where he worked on a range of topics primarily focusing on computational methodology, multivariate time series, space time analysis and Bayesian inference.
How to find us: Once you enter the Outcome.life building take the lift or the stairs to the top floor.
After the talk, we'll be going next door to the Campari House Rooftop Bar for drinks and snacks.