Regression correlation coefficient for a Poisson regression model.
Akihito TakahashiTakeshi KurosawaPublished in: Comput. Stat. Data Anal. (2016)
Keyphrases
- regression model
- correlation coefficient
- regression methods
- regression analysis
- model selection
- linear regression model
- locally weighted
- prediction model
- kernel regression
- standard deviation
- explanatory variables
- generalized linear models
- root mean square error
- support vector regression
- gaussian process
- multivariate regression
- generalized linear
- regression trees
- chi square
- information gain
- target variable
- principal components
- multiple linear regression
- survival analysis
- regression method
- interval valued data
- root mean squared error
- independent variables
- fuzzy neural network
- sample size
- linear model
- closed form
- logistic regression models
- decision trees
- response variable
- prediction intervals