2020
Anchored Causal Inference in the Presence of Measurement Error
UAI 2020poster
We consider the problem of learning a causal graph in the presence of measurement error.This setting is for example common in genomics, where gene expression is corrupted through the measurement process. We develop a provably consistent procedure for estimating the causal structure in a linear Gauss…