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Sparse sufficient dimension reduction with heteroscedasticity
International Journal of Wavelets, Multiresolution and Information Processing, 2021Heteroscedasticity often appears in the high-dimensional data analysis. In order to achieve a sparse dimension reduction direction for high-dimensional data with heteroscedasticity, we propose a new sparse sufficient dimension reduction method, called Lasso-PQR.
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