Finding Non-Redundant Simpson's Paradox in Multidimensional Data
Summary: Formalizes sibling-child, separator, and statistic equivalence as redundancy sources in multidimensional Simpson’s paradox discovery. Groups equivalent paradoxes and uses redundancy-aware DFS algorithms, reducing search cost while preserving interpretable, robust findings. (summarized by gpt-5.6-luna on Aug 17 2026)
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Authors
- 1. Yi Yang (Duke University)
- 2. Jian Pei (Duke University)
- 3. Jun Yang (Duke University)
- 4. Jichun Xie (Duke University)
BibTeX Citation
@article{yang_vldb26,
title = {{Finding Non-Redundant Simpson's Paradox in Multidimensional Data}},
author = {Yang, Yi and Pei, Jian and Yang, Jun and Xie, Jichun},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {9},
pages = {2466--2479},
doi = {10.14778/3819518.3819564},
url = {https://doi.org/10.14778/3819518.3819564},
year = {2026}
}
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