Comparison of strategies for scalable causal discovery of latent variable models from mixed data.
Vineet K. RaghuJoseph D. RamseyAlison MorrisDimitrios V. ManatakisPeter SpirtesPanos K. ChrysanthisClark GlymourPanayiotis V. BenosPublished in: Int. J. Data Sci. Anal. (2018)
Keyphrases
- latent variable models
- mixed data
- causal discovery
- causal models
- latent variables
- causal relationships
- real valued
- data compression
- hidden markov models
- discovery process
- bayesian networks
- data sets
- knn
- directed acyclic graph
- latent dirichlet allocation
- clustering algorithm
- latent space
- machine learning
- hidden variables
- neural network