A Bayesian Approach for Estimating Causal Effects from Observational Data.

Johan Pensar Topi Talvitie Antti Hyttinen Mikko Koivisto

Published in: AAAI (2020)

Keyphrases

causal effects
observational data
experimental data
structural equation models
causal relations
directed acyclic graph
causal relationships
causal structure
causal bayesian networks
causal discovery
latent variables
causal models
bayesian networks
linear models
sample size
decision making