Estimator selection and combination in scalar-on-function regression.
Jeff GoldsmithFabian ScheiplPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- regression function
- gaussian process regression
- regression model
- least squares
- maximum likelihood
- machine learning
- reinforcement learning
- support vector regression
- regression analysis
- piecewise linear
- reproducing kernel hilbert space
- real valued functions
- maximum a posteriori
- selection algorithm
- partial least squares
- simple linear