A conditional distribution function based approach to design nonparametric tests of independence and conditional independence.
Sohan SethJosé C. PríncipePublished in: ICASSP (2010)
Keyphrases
- conditional independence
- random variables
- distribution function
- bayesian networks
- graphical models
- conditional independence tests
- independence relations
- axiomatic characterization
- probability distribution
- structure learning
- possibility theory
- statistical independence
- chain graphs
- markov property
- density function
- causal models
- machine learning
- conditional independencies