Causal Structure Discovery from Distributions Arising from Mixtures of DAGs.

Basil Saeed Snigdha Panigrahi Caroline Uhler

Published in: CoRR (2020)

Keyphrases

causal structure
causal discovery
directed acyclic graph
causal models
observational data
random variables
heavy tailed distributions

heavy tailed
causal relationships
probability distribution
causal ordering
conditional independence
discovery process
bayesian networks

causal relations
experimental data
causal graph
mixture model
latent variables
directed graph

causal effects
causal bayesian networks
model checking
special case
decision making
machine learning