Revealing the interlevel dependence structure of categorical inputs in numerical environmental simulations with kernel model selection.
Jérémy RohmerOlivier RoustantSophie LecacheuxJean-Charles ManceauPublished in: Environ. Model. Softw. (2022)
Keyphrases
- model selection
- dependence structure
- cross validation
- hyperparameters
- sample size
- marginal distributions
- parameter estimation
- statistical learning
- regression model
- higher order statistics
- machine learning
- model selection criteria
- variable selection
- gaussian process
- mixture model
- feature selection
- feature space
- missing data
- least squares
- knn
- markov networks
- joint distribution
- image segmentation
- decision trees