Estimating Latent Causal Inferences: Tetrad II model selection and Bayesian parameter estimation.
Richard ScheinesPublished in: AISTATS (1997)
Keyphrases
- model selection
- parameter estimation
- posterior distribution
- causal inferences
- bayesian model selection
- marginal likelihood
- cross validation
- hyperparameters
- sample size
- statistical models
- latent variables
- markov chain monte carlo
- causal inference
- mixture model
- maximum likelihood
- regression model
- machine learning
- approximate inference
- variable selection
- feature selection
- em algorithm
- structure learning
- probabilistic model
- higher order
- posterior probability
- markov random field
- high dimensional