A least distance estimator for a multivariate regression model using deep neural networks.
Jungmin ShinSeung Jun ShinSungwan BangPublished in: CoRR (2024)
Keyphrases
- regression model
- neural network
- prediction model
- regression methods
- regression analysis
- kernel regression
- multivariate regression
- gaussian process
- model selection
- linear regression model
- generalized linear models
- maximum likelihood
- least squares
- back propagation
- artificial neural networks
- generalized linear
- multiple linear regression
- regression trees
- linear model
- target variable
- regression method
- survival analysis
- support vector regression
- explanatory variables
- neural network model
- prediction intervals
- machine learning
- independent variables
- fuzzy logic
- bayesian networks
- logistic regression models
- maximum a posteriori
- response variable
- cross validation