Parallel algorithms for downdating the least squares estimator of the regression model.
Petko YanevErricos John KontoghiorghesPublished in: Parallel Comput. (2008)
Keyphrases
- regression model
- least squares
- parallel algorithm
- parallel computation
- regression analysis
- model selection
- linear model
- gaussian process
- regression methods
- parameter estimation
- linear regression
- kernel regression
- shared memory
- prediction model
- support vector regression
- optical flow
- parallel programming
- linear regression model
- explanatory variables
- cluster of workstations
- generalized linear models
- combinatorial search problems
- multiple linear regression
- regression trees
- locally weighted
- pc cluster
- pairwise
- interconnection networks
- image sequences
- linear regression models
- discovery of association rules
- robust estimation