2 citations · 6 across the 6 of their papers we have counts for
Showing 2018 · stat.MEShow all
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stat.ME2018
Sufficient Dimension Reduction for Classification
Xin Chen, Jingjing Wu, Zhigang Yao +1
We propose a new sufficient dimension reduction approach designed deliberately for high-dimensional classification. This novel method is named maximal mean variance (MMV), inspired…
stat.ME2018
Generalized Linear Model for Gamma Distributed Variables via Elastic Net Regularization
Xin Chen, Aleksandr Y. Aravkin, R. Douglas Martin
The Generalized Linear Model (GLM) for the Gamma distribution (glmGamma) is widely used in modeling continuous, non-negative and positive-skewed data, such as insurance claims and…
stat.ME2018★ 2 cited
High Dimensional Elliptical Sliced Inverse Regression in non-Gaussian Distributions
Jia Zhang, Xin Chen, Wang Zhou
Sliced inverse regression (SIR) is the most widely-used sufficient dimension reduction method due to its simplicity, generality and computational efficiency. However, when the dist…