Additive models with autoregressive symmetric errors based on penalized regression splines.
Rodrigo A. OliveiraGilberto A. PaulaPublished in: Comput. Stat. (2021)
Keyphrases
- autoregressive
- additive models
- reproducing kernel hilbert space
- linear models
- non stationary
- loss function
- model selection
- random fields
- linear regression
- least squares
- regression model
- maximum likelihood
- linear classifiers
- closed form
- variable selection
- support vector
- kernel methods
- hidden markov models
- sar images
- probabilistic model
- image processing
- special case
- linear model
- high resolution
- high dimensional
- pairwise
- linear svm