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False discovery rate 1 High-dimensional model selection 1 Positive selection rate 1 Prediction 1 Random subspace method 1 Variable importance 1
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Mielniczuk, Jan 1 Teisseyre, Paweł 1
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Computational Statistics & Data Analysis 1
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Using random subspace method for prediction and variable importance assessment in linear regression
Mielniczuk, Jan; Teisseyre, PaweÅ‚ - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 725-742
A random subset method (RSM) with a new weighting scheme is proposed and investigated for linear regression with a large number of features. Weights of variables are defined as averages of squared values of pertaining t-statistics over fitted models with randomly chosen features. It is argued...
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