Bayesian Approach in Nonparametric Count Regression with Binomial Kernel.
Nabil ZougabSmail AdjabiCélestin C. KokonendjiPublished in: Commun. Stat. Simul. Comput. (2014)
Keyphrases
- kernel regression
- nadaraya watson
- nonparametric regression
- kernel ridge regression
- kernel density estimation
- reproducing kernel hilbert space
- sparse kernel
- support vector
- classification and regression problems
- regression model
- gaussian processes
- kernel density
- kernel function
- parzen window
- regression method
- gaussian process regression
- linear regression
- regression methods
- density estimation
- kernel methods
- kernel density estimator
- principal component regression
- nonparametric density estimation
- relevance vector machine
- kernel density estimators
- data driven
- feature space
- model selection
- partial least squares
- probability density function
- support vector regression
- regression problems
- kernel matrix
- regression algorithm
- loss function
- cross validation
- mean shift
- ridge regression
- bayesian modeling
- locally weighted
- convolution kernel
- standard svm
- kernel learning
- kernel machines
- genetic programming
- probability distribution
- kernel partial least squares