Estimation for high dimensional data
Abstract (Modeling high dimensional data is often confounded with multicollinearity and problem with interpretability of the fitted model General Adaptive Sparse Principal Component Analysis (GAS-PCA) is used in reducing dimensionality that simultaneously induces sparsity. However, selection of few...
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| Formato: | Thesis |
| Idioma: | English |
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Quezon City
School of Statistics, University of the Philippines Diliman
2014.
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