Parameter Estimation in Large Causal Models.
Rasa JurgelenaitePeter J. F. LucasPublished in: ECAI (2004)
Keyphrases
- parameter estimation
- causal models
- causal discovery
- model selection
- least squares
- conditional independence
- markov random field
- maximum likelihood
- causal relationships
- causal relations
- directed acyclic graph
- structural model
- em algorithm
- expectation maximization
- causal reasoning
- parameter values
- structural equation models
- parameter estimation algorithm
- random fields
- causal graph
- causal structure
- tractable cases
- approximate inference
- structure learning
- estimation problems
- machine learning
- random walk
- probabilistic model
- prior knowledge