On spline regression under Gaussian subordination with long memory.
Jan BeranArno WeiershäuserPublished in: J. Multivar. Anal. (2011)
Keyphrases
- regression model
- least squares
- spline wavelet
- memory space
- computing power
- support vector regression
- b spline
- memory usage
- regression analysis
- maximum likelihood
- gaussian mixture model
- regression method
- gaussian mixture
- nonlinear functions
- control points
- multiresolution
- linear regression
- main memory
- simple linear
- gaussian kernel
- regression methods
- polynomial regression
- gaussian processes
- random access
- partial least squares
- data sets
- gaussian distribution
- model selection
- bayesian networks
- neural network