Low dimensional semiparametric estimation in a censored regression model.
Ignacio Moral-ArceJuan M. Rodríguez-PóoStefan SperlichPublished in: J. Multivar. Anal. (2011)
Keyphrases
- semi parametric
- regression model
- low dimensional
- survival analysis
- high dimensional
- regression analysis
- regression methods
- prediction model
- gaussian process
- linear model
- dimensionality reduction
- model selection
- high dimensional data
- least squares
- manifold learning
- density estimation
- generalized linear models
- explanatory variables
- data points
- input space
- multivariate regression
- constrained optimization
- support vector regression
- genetic programming
- regression problems
- cross validation
- markov random field
- feature space
- data mining