693 search results - page 32 / 139 » Estimation in covariate-adjusted regression |
CSDA
2006
14 years 9 months ago
2006
The least squares linear regression estimator is well-known to be highly sensitive to unusual observations in the data, and as a result many more robust estimators have been propo...
109
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CVPR
2010
IEEE
14 years 10 months ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
WCE
2007
14 years 10 months ago
2007
Application Service Maintenance(ASM) projects mainly use Activity-Based software estimation methodology compared to Function Point or Lines of Code Estimation methodologies[1]. Th...
CSDA
2010
14 years 9 months ago
2010
Robust estimators of the prediction error of a linear model are proposed. The estimators are based on the resampling techniques cross-validation and bootstrap. The robustness of t...
69
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UAI
2004
14 years 11 months ago
2004
The paper describes an application of Aggregating Algorithm to the problem of regression. It generalizes earlier results concerned with plain linear regression to kernel technique...