Summer School in Bayesian Causal Inference

SS in Bayesian Causal Inference

📚 Just Completed a Fascinating 5-Day Course on Bayesian Causal Inference at the University of Florence! 📚

🔹 Here are some highlights from the lectures:

1. Randomized experiments, observational studies with ignorable assignments, and #causalinference with multiple treatments.
2. Explored heterogenous treatment effects and application of propensity score, BART, GP, #Bayesian casual forests for estimating causal effect size.
3. Sensitivity analysis to assess causal effect estimates under varying assumptions.
4. Learned about Instrumental Variables and Principal Stratification for handling confounding and noncompliance.
5. Introduced Bayesian Time Series Models and prior elicitation techniques.

Material

🔹 The excersises were based on R. Course materials are available on the instructor’s website at: https://www2.stat.duke.edu/~fl35/CausalInferenceClass.html

Duration

🔹 12-16 June 2023 | University of Florence, Florence, Italy