Back to the program

Invited Paper Session

Bayesian Models and Methods for Counterfactual Prediction and Causal Inference

Mon, Aug 4, 8:30 AM - 10:20 AM Room CC-106C Music City Center

Mike WestOrganizerMike WestChair

Section on Bayesian Statistical Science co: Business and Economic Statistics Sectionco: International Society for Bayesian Analysis (ISBA) Applied

3 Presentations

Dynamic graphical models: Theory, structure and counterfactual forecasting

8:35 AM - 9:00 AM

Luke Vrotsos (Duke University)

Bayesian forecasting Causal inference Counterfactual forecasting Dynamic graphical models Multivariate time series Outcome adaptive models

Topics in Bayesian machine learning for causal inference

9:00 AM - 9:25 AM

Conditional average treatment effects Decision trees Heterogeneous treatment effects

Bayesian nonparametrics for principal stratification with continuous post-treatment variables

9:25 AM - 9:50 AM

Falco Bargagli Stoffi (Harvard University)

Causal inference Dependent Dirichlet process Environmental health Principal strata Shared atoms mixture model

Discussant

Alexander Volfovsky (Duke University)

↑