Functional Regression for Densely Observed Data With Novel Regularization.
Ruiyan LuoXin QiPublished in: J. Comput. Graph. Stat. (2021)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- regression model
- model selection
- regularization parameter
- linear regression
- regression analysis
- loss function
- pairwise
- ridge regression
- regression methods
- kernel function
- regression method
- partial least squares
- regression algorithm
- mumford shah functional
- regression problems
- regularization methods
- aggregating algorithm
- parameter selection
- sparse bayesian learning
- projection operator