Gaussian-process structural causal models

New framework enables counterfactual inference for mixed discrete/continuous causal models

Researchers have developed a new probabilistic framework for counterfactual inference in Gaussian-process structural causal models (GP-SCMs). This framework extends applicability to causal graphs with discrete child nod…