Graph model selection by edge probability prequential inference.
Louis DuvivierRémy CazabetCéline RobardetPublished in: J. Complex Networks (2023)
Keyphrases
- model selection
- weighted graph
- statistical inference
- cross validation
- bayesian model selection
- hyperparameters
- parameter estimation
- sample size
- regression model
- machine learning
- feature selection
- bayesian learning
- statistical learning
- probabilistic inference
- generalization error
- posterior probability
- mixture model
- gaussian process
- variable selection
- variational bayes
- error estimation
- selection criterion
- bayesian networks
- marginal likelihood
- information criterion
- probability distribution
- conditional probabilities
- edge detection
- probabilistic model
- markov chain monte carlo
- leave one out cross validation
- directed acyclic graph
- model selection criteria