The KL estimator for the inverse Gaussian regression model.
Adewale F. LukmanZakariya Yahya AlgamalB. M. Golam KibriaKayode AyindePublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- regression model
- maximum likelihood
- model selection
- regression methods
- least squares
- linear model
- generalized linear models
- kernel regression
- prediction model
- regression analysis
- kl divergence
- kullback leibler
- gaussian mixture
- gaussian distribution
- maximum a posteriori
- explanatory variables
- linear regression model
- gaussian mixture model
- prediction intervals
- interval valued data
- regression method
- gaussian process
- support vector regression
- survival analysis
- logistic regression models
- locally weighted
- multiple linear regression
- multivariate regression
- target variable
- regression trees
- data mining