Before revision: A doubly robust (DR) estimator is crucial in causal inference , which consists of two nuisance parameters : the conditional mean outcome and  logging policy (  probability of choosing an action)  .
After revision: A doubly robust (DR) estimator is crucial in causal inference , which consists of two nuisance parameters : the conditional mean outcome and logging policy ( probability of choosing an action) , is crucial in causal inference .