• Corpus ID: 239009798

Multivariate Mean Comparison under Differential Privacy

@article{Dunsche2021MultivariateMC,
  title={Multivariate Mean Comparison under Differential Privacy},
  author={Martin Dunsche and Timothy J. Kutta and Holger Dette},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.07996}
}
The comparison of multivariate population means is a central task of statistical inference. While statistical theory provides a variety of analysis tools, they usually do not protect individuals’ privacy. This knowledge can create incentives for participants in a study to conceal their true data (especially for outliers), which might result in a distorted analysis. In this paper we address this problem by developing a hypothesis test for multivariate mean comparisons that guarantees… 

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References

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