On Thursday 27 June, the Leverhulme Centre for Demographic Science and Centre for Care are hosting a free RobustiPy hackathon at the University of Oxford's Saïd Business School. Registration has now closed for this event.
Do you have an understanding of regression modelling, some Python experience, and an interest in the future of computational statistics?
Robustipy is an efficient multiversal library with model selection, averaging, resampling, out-of-sample analysis, and more. Developed for Python (and in the future for R), it is designed to be both accessible and computationally efficient.
The aim of this hackathon is to solicit feedback on RobustiPy and to offer you the chance to test your own datasets. There will also be pizzas and prizes! A preliminary schedule is as follows:
- 12:30 - Tea and coffee on arrival with a drop-in session for installing RobustiPy
- 13:00 - Introducing RobustiPy
- 13:30 - RobustiPy in action (we provide some empirical and simulated examples)
- 14:15 - Pizzas!
- 14:45 - Bring Your Own Dataset or work as a team to test your data and (try to break!) RobustiPy!
- 15:45 - Take a break and make a slide or two to present back to the group.
- 16:15 - Present your findings and prizes for best application!
- 17:00 - How can we improve RobustiPy?
- 17:30 - Roundtable discussion on the future of multiversal analysis
- 18:15 - Social events and further discussion
Registration has now closed
Any questions, please email the events team.
A small amount of funding to facilitate travel for those outside of Oxford is available, please email Dr Charles Rahal to discuss.
