Exact confidence regions for linear regression parameter under external arbitrary noise.
Alexander SenovKonstantin S. AmelinNatalia O. AmelinaOleg N. GranichinPublished in: ACC (2014)
Keyphrases
- linear regression
- least squares
- parameter space
- regression problems
- regression methods
- image structure
- nonlinear regression
- ridge regression
- locally weighted
- linear regression model
- arbitrary shape
- noise level
- linear models
- input image
- regression trees
- pixel intensities
- kernel regression
- missing data
- generalized linear models
- worst case
- support vector
- kernel density estimators