Inconsistency of cross-validation for structure learning in Gaussian graphical models.
Zhao LyuWai Ming TaiMladen KolarBryon AragamPublished in: CoRR (2023)
Keyphrases
- structure learning
- cross validation
- gaussian graphical models
- graphical models
- model selection
- belief propagation
- probabilistic model
- random variables
- support vector
- bayesian networks
- variable selection
- hyperparameters
- conditional independence
- bayesian network classifiers
- markov networks
- training set
- information criterion
- data sets
- machine learning
- high dimensional