Conferences / StanCon
StanCon 2024 Oxford
Sep 9–13, 2024 · Thom Building, Department of Engineering Science, University of Oxford, Oxford, United Kingdom
- Conference
- StanCon Data science & ML
- Dates
- Sep 9, 2024 – Sep 13, 2024
- Venue
- Thom Building, Department of Engineering Science, University of Oxford
- Place
- Oxford, United Kingdom
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- mc-stan.org
- Recorded
- 8 sponsors · 13 speaker appearances
- Notes
- Tutorials Sep 9 onwards, talks from Sep 10. Keynotes and tutorials from the StanCon talks archive; contributed talks in the PDF programme are not recorded here.
Ticket prices
No ticket prices recorded
Sponsors 8
Other 8
- Daiichi Sankyo Europe · Sponsor
- Generable · Sponsor
- Jumping Rivers · Sponsor
- Max Planck Institute for Evolutionary Anthropology · Sponsor
- Metrum Research Group · Sponsor
- NumFOCUS · Sponsor
- Oxford Internet Institute · Sponsor
- Taylor and Francis · Sponsor
Speakers and talks 13
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Chris Wymant | — | Keynote | Bayesian multilevel causal modelling of the frequency and implications of having two HIV infections | — |
| Mitzi Morris | — | Keynote | The Pragmatic Probabilistic Programmer | — |
| Sebastian Weber | — | Keynote | Applied modeling for drug development | — |
| Vianey Leos Barajas | — | Keynote | From the Depths to the Stars: How Modeling Shark Movements Illuminates Star Behavior | — |
| Aki Vehtari | — | Workshop | Model selection | — |
| Anna Riha | — | Workshop | Bayesian optmization with Stan | — |
| Elizaveta Semenova | — | Workshop | Bayesian optmization with Stan | — |
| Juliette Unwin | — | Workshop | Infectious disease modeling in Stan | — |
| Noa Kallioinen | — | Workshop | Model selection | — |
| Richard McElreath | — | Workshop | Introduction to Stan | — |
| Sean Pinkney | — | Workshop | Bayesian hierarchical models in Stan | — |
| Teemu Säilynoja | — | Workshop | Model selection | — |
| Will Pearse | — | Workshop | Biodiversity modeling and forecasting | — |