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Showing 1 to 3 of 3 for “"Sliced inverse regression"”.

  1. Robust and Constrained Dimension Reduction

    … al. (2002) is asymptotically equivalent to the sliced inverse regression (SIR) method, and reduces dimensionality by replacing the explanatory variables with a small number of composite directions without losing much information. However, the estimates by CANCOR are sensitive to outliers. In …

    uiuc Repository record for Robust and Constrained Dimension Reduction (opens in a new tab)

  2. Sufficient Dimension Reduction with Missing Data

    … part of the dissertation focuses on the seminal sliced inverse regression (SIR) approach proposed by Li (1991). We show that missing responses generally affect the validity of the inverse regressions under the mechanism of missing at random. We then propose a simple and effective adjustment with …

    temple Repository record for Sufficient Dimension Reduction with Missing Data (opens in a new tab)

  3. Nonparametric variable selection and dimension reduction methods and their applications in pharmacogenomics

    … including variable selection using local regression and extended dimension reduction techniques, to detect nonlinear patterns in the relationship between genetic variants and clinical response.^ High dimensional data analysis has become a popular research topic in the Statistics society in …

    purdue-thes Repository record for Nonparametric variable selection and dimension reduction methods and their applications in pharmacogenomics (opens in a new tab)