Measuring the Uncertainty of Differences for Contrasting Groups

Publisher:
AAAI Press
Publication Type:
Conference Proceeding
Citation:
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007, pp. 1920 - 1921
Issue Date:
2007-01
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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.
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