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20182026
most citedHigh Dimensional Elliptical Sliced Inverse Regression in non-Gaussian Distributions

2 citations · 2 across the 4 of their papers we have counts for

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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★ 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…