View Machine Learning Causal Inference Pictures. So what is double machine learning? December 14, 2019, vancouver, vancouver conventional center, west level 1, west ballroom c.
Then, why not simply use machine learning to directly estimate θ₀? Predict d based on x using machine learning; Machine learning methods were developed for prediction with high dimensional data.
Note that θ₀ does not necessarily need to be the ate.
We define a fully interactive model, more general than the partially linear one. December 14, 2019, vancouver, vancouver conventional center, west level 1, west ballroom c. It is then natural to try to use machine learning for estimating high dimensional nuisance parameters. Where y is the outcome variable, d is a binary treatment, z is a vector of covariates, and u and v are disturbances.
