Likelihood-based Imprecise Regression.
Marco E. G. V. CattaneoAndrea WiencierzPublished in: Int. J. Approx. Reason. (2012)
Keyphrases
- regression model
- linear regression
- regression analysis
- simple linear
- regression methods
- maximum likelihood
- support vector regression
- model selection
- classification and regression problems
- nonparametric regression
- regression problems
- regression algorithm
- sparse bayesian learning
- support vector
- likelihood function
- ordinary least squares
- locally weighted
- ridge regression
- regression method
- log likelihood
- reproducing kernel hilbert space
- training data
- gaussian processes
- loss function
- probability distribution
- special case
- approximate functional dependencies