Ontology highlight
ABSTRACT:
SUBMITTER: Bhattacharya R
PROVIDER: S-EPMC6935347 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature
Bhattacharya Rohit R Malinsky Daniel D Shpitser Ilya I
Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence 20190701
Classical causal and statistical inference methods typically assume the observed data consists of independent realizations. However, in many applications this assumption is inappropriate due to a network of dependences between units in the data. Methods for estimating causal effects have been developed in the setting where the structure of dependence between units is known exactly [10, 36, 20], but in practice there is often substantial uncertainty about the precise network structure. This is tr ...[more]