Bayesian Variable Selection for Gaussian Copula Regression Models.
Angelos AlexopoulosLeonardo BottoloPublished in: J. Comput. Graph. Stat. (2021)
Keyphrases
- regression model
- variable selection
- model selection
- cross validation
- maximum likelihood
- statistical inference
- logistic regression models
- input variables
- hyperparameters
- prediction model
- linear models
- high dimensional
- regression methods
- parameter estimation
- gaussian process
- linear model
- dimension reduction
- posterior distribution
- regression trees
- regression method
- bayesian inference
- bayesian networks
- high dimensional data
- feature selection
- machine learning
- neural network
- survival analysis
- ls svm
- gaussian processes
- least squares
- unsupervised learning
- pattern recognition
- data mining
- data sets
- efficient optimization
- text classification