Measuring the Uncertainty of Differences for Contrasting Groups
Abstract
Abstract: In this paper, we propose an empirical likelihood (EL) based strategy for building confidence intervals for differences between two contrasting groups. The proposed method can deal with the situations when we know little prior knowledge about the two groups, which are referred to as non-parametric situations. We experimentally evaluate our method on UCI datasets and observe that proposed EL based method outperforms other methods.
Cite
Text
Zhang et al. "Measuring the Uncertainty of Differences for Contrasting Groups." AAAI Conference on Artificial Intelligence, 2007.Markdown
[Zhang et al. "Measuring the Uncertainty of Differences for Contrasting Groups." AAAI Conference on Artificial Intelligence, 2007.](https://mlanthology.org/aaai/2007/zhang2007aaai-measuring/)BibTeX
@inproceedings{zhang2007aaai-measuring,
title = {{Measuring the Uncertainty of Differences for Contrasting Groups}},
author = {Zhang, Jilian and Zhang, Shichao and Zhu, Xiaofeng and Wu, Xindong and Zhang, Chengqi},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2007},
pages = {1920-1921},
url = {https://mlanthology.org/aaai/2007/zhang2007aaai-measuring/}
}