Conferences / StanCon
StanCon 2023 St. Louis
Jun 20–23, 2023 · Washington University in St. Louis (Hillman Hall), St. Louis, MO, United States
- Conference
- StanCon Data science & ML
- Dates
- Jun 20, 2023 – Jun 23, 2023
- Venue
- Washington University in St. Louis (Hillman Hall)
- Place
- St. Louis, MO, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- mc-stan.org
- Recorded
- 5 sponsors · 10 speaker appearances
- Notes
- Tutorials Jun 20-21, talks Jun 22-23. Keynotes and tutorials from the StanCon talks archive; contributed talks are in the PDF programme but not recorded here. Slides at github.com/stan-dev/stancon2023.
Ticket prices
No ticket prices recorded
Sponsors 5
Other 5
- Jumping Rivers · Sponsor
- Metrum Research Group · Sponsor
- NumFOCUS · Sponsor
- Sage Therapeutics · Sponsor
- Washington University in St Louis · Sponsor
Speakers and talks 10
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Bob Carpenter | — | Keynote | The efficient frontier: Bayes, neural nets, and the future of Stan | — |
| John Kruschke | — | Keynote | We all can benefit from Bayesian analysis reporting guidelines if we use them | — |
| Mariel Finucane | — | Keynote | Statistical Significance Makes our Mission: Impossible | — |
| Siddhartha Chib | — | Keynote | Regression Under Endogeneity: Bernstein-von Mises Theory and Bayes Factors Testing | — |
| Andrew Johnson | — | Workshop | Advances of model assessment, selection, and inference after model selection | — |
| Charles Margossian | — | Workshop | Fundamentals of Stan | — |
| Daniel Lee | — | Workshop | Building a GPT in Stan | — |
| Jake Thompson | — | Workshop | Cognitive diagnostic models in R and Stan | — |
| Mike Lawrence | — | Workshop | Hierarchical models in Stan: varieties, optimizations & nuances | — |
| Mitzi Morris | — | Workshop | Bayesian workflow illustrated using BRMS | — |