machine-learning

Machine learning for causal inference that works

Richard Hahn / 2021-01-26

I’ve kindly been invited to share a few words about a recent paper my colleagues and I published in Bayesian Analysis: “Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects”. In that paper, we motivate and describe a method that we call…

causal-inference

Causal discovery in the presence of discrete latent variables

Rune Christiansen and Jonas Peters / 2020-12-15

We address the problem of causal structure learning in the presence of hidden variables. Given a target variable and a vector of covariates, we are trying to infer the set of observable causal parents of the target variable. There are many good reasons for being interested in causal predictors.…