# Distribution Regression

@inproceedings{Chen2017DistributionR, title={Distribution Regression}, author={Xin Chen and Xuejun Ma and Wang Zhou}, year={2017} }

Linear regression is a fundamental and popular statistical method. There are various kinds of linear regression, such as mean regression and quantile regression. In this paper, we propose a new one called distribution regression, which allows broad-spectrum of the error distribution in the linear regression. Our method uses nonparametric technique to estimate regression parameters. Our studies indicate that our method provides a better alternative than mean regression and quantile regression… Expand

#### One Citation

Sufficient Dimension Reduction for Classification

- Mathematics
- 2018

We propose a new sufficient dimension reduction approach designed deliberately for high-dimensional classification. This novel method is named maximal mean variance (MMV), inspired by the mean… Expand

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