Linear regression and filtering under nonstandard assumptions (arbitrary noise).
Oleg N. GranichinPublished in: IEEE Trans. Autom. Control. (2004)
Keyphrases
- linear regression
- least squares
- median filter
- regression methods
- ridge regression
- noise detection
- noise reduction
- regression problems
- filtering method
- salt pepper
- linear regression model
- regression method
- linear models
- noise level
- nonlinear regression
- kernel regression
- missing data
- regression trees
- machine learning
- signal to noise ratio
- predictor variables
- text categorization
- kernel density estimators
- linear minimum mean square error