Improving predictions by nonlinear regression models from outlying input data.
William W. HsiehPublished in: CoRR (2020)
Keyphrases
- regression model
- input data
- prediction intervals
- generalized linear
- regression analysis
- generalized linear models
- model selection
- regression methods
- linear model
- high dimensional data
- outlier detection
- survival analysis
- prediction model
- support vector regression
- linear regression model
- gaussian process
- regression trees
- nonlinear models
- explanatory variables
- image data
- data sets
- independent variables
- logistic regression
- missing data
- regression method
- training data
- interval valued data
- multiple linear regression
- input space
- data points
- artificial neural networks
- machine learning