4167 search results - page 272 / 834 » Regression model checking |
174
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TSP
2010
14 years 11 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
113
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NIPS
2007
15 years 5 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
109
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NIPS
2003
15 years 5 months ago
2003
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
126
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WSC
1998
15 years 5 months ago
1998
Bootstrapping is a resampling technique that requires less computer time than simulation does. Bootstrapping -like simulation-must be defined for each type of application. This pa...
166
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NN
2002
Springer
2002
Springer
Optimal design of regularization term and regularization parameter by subspace information criterion
15 years 4 months ago
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...