Identifying Causal Effects Under Functional Dependencies

arXiv:2403.04919v1 Announce Type: cross
Abstract: We study the identification of causal effects, motivated by two improvements to identifiability which can be attained if one knows that some variables in a causal graph are functionally determined by their parents (without needing to know the specific functions). First, an unidentifiable causal effect may become identifiable when certain variables are functional. Second, certain functional variables can be excluded from being observed without affecting the identifiability of a causal effect, which may significantly reduce …

abstract arxiv become cs.ai cs.lg cs.sc dependencies effects functional functions graph identification improvements parents stat.me study type variables