Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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| 510 * ! | Wed, 8/7/2013, 10:30 AM - 12:20 PM | CC-522bc | |
| Nonparametric Bayesian Predictive Models for Causal Inference — Invited Papers | |||
| Section on Nonparametric Statistics , International Chinese Statistical Association | |||
| Organizer(s): Surya T Tokdar, Duke University | |||
| Chair(s): John McGready, Johns Hopkins University | |||
| 10:35 AM | A Bayesian Nonparametric Causal Model for Regression Discontinuity Designs — George Karabatsos, University of Illinois-Chicago ; Stephen G. Walker, University of Kent | ||
| 10:55 AM | Addressing Missing Outcome Data in Randomized Experiments: A Design-Based Approach — Donald P. Green, Columbia University ; Holger L. Kern, University of South Carolina ; Peter M. Aronow, Yale University | ||
| 11:15 AM | Robust Sensitivity Analysis Using Bayesian Nonparametric Modeling — Nicole Carnegie, Harvard University ; Jennifer Hill, New York University | ||
| 11:35 AM | Causal Analysis of Observational Data with Gaussian Process Potential Outcome Models — Surya T Tokdar, Duke University | ||
| 11:55 AM | Discussant: Fan Li, Duke University | ||
| 12:15 PM | Floor Discussion | ||
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