Reviews: Debiased Bayesian inference for average treatment effects

In particular, I welcome the comparison to BCF and find it quite interesting that it performs better on the semi-synthetic data but not the synthetic! On re-reading the paper and supplement, as well as the response, I do think the way you have incorporated the propensity score is quite clever. I'm quite happy to revise my score up to 7. ----- The authors consider the important problem of heterogeneous treatment effect estimation. They specifically propose a non-parametric Bayesian procedure, placing a Gaussian process prior on the potential outcome function m(x,r). They note that the natural approach (i.e.