Alexander Franks

Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding

In causal estimation problems, the parameter of interest is often only partially identified, implying that the parameter cannot be recovered exactly, even with infinite data. Here, we study Bayesian inference for partially identified treatment effects in multi-treatment causal inference problems wit…