Fast Conditional Independence Test for Vector Variables with Large Sample Sizes.
Krzysztof ChalupkaPietro PeronaFrederick EberhardtPublished in: CoRR (2018)
Keyphrases
- conditional independence
- sample size
- structure learning
- random variables
- causal models
- statistical tests
- directed acyclic graph
- conditional independencies
- bayesian network structure
- bayesian networks
- graphical models
- learning bayesian networks
- experimental design
- markov blanket
- independence relations
- model selection
- observational data
- structure learning algorithm
- probability distribution
- causal discovery
- markov property
- random sampling
- conditional probabilities
- statistical independence
- continuous variables
- variable selection
- independent variables
- small samples
- causal relationships
- confidence intervals
- possibility theory
- small sample
- worst case
- axiomatic characterization
- conditional independence tests
- latent variables
- statistically significant
- belief propagation
- variance reduction
- probabilistic graphical models
- structural learning
- equivalence classes
- data mining
- cross validation
- probabilistic model
- directed graph