Schedule
7:30-8:30 - Breakfast
8:45-10:00 - Session 1
| 8:45 | Causal modeling: An application in HIV vaccine design David Heckerman (invited talk) |
9:20 | Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure Antti Hyttinen, Patrik O. Hoyer, Frederick Eberhardt, Matti Järvisalo |
10:00-10:30 - Coffee
10:30-12:15 - Session 2
| 10:30 |
Reasoning about Independence in Probabilistic Models of Relational Data Marc Maier, Katerina Marazopoulou, and David Jensen |
| 11:05 |
A Sound and Complete Algorithm for Learning Causal Models from Relational Data Marc Maier, Katerina Marazopoulou, David Arbour, and David Jensen |
| 11:40 |
Single World Intervention Graphs: A Primer Thomas Richardson and James Robins |
12:15-2:00 - Lunch
2:00-3:35 - Session 3
| 2:00 |
From dynamical systems to causal models Joris Mooij (invited talk) |
| 2:50 |
Identifiability of binary directed graphical models with hidden variables Elizabeth Allman, John Rhodes, Elena Stanghellini and Marco Valtorta |
| 3:25 | Poster spotlights |
3:35-4:50 - Posters
(with coffee)
4:50-6:00 - Session 4
| 4:50 |
Maximum Likelihood estimation of structural nested logistic model with an instrumental variable Roland Matsouaka and Eric Tchetgen Tchetgen |
| 5:25 |
A finite population test of the sharp null hypothesis for Compliers Wen Wei Loh and Thomas Richardson |