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Approximating Median Absolute Deviation with Bounded Error

Summary: OPMAD is the first fully mergeable, one-pass sketch for approximating median absolute deviation (MAD), avoiding the O(n)-space cost of two exact median computations. TP-MAD provides (ε,1)-accuracy in O(n+m log m) time and O(m) space, with Spark/Structured Streaming implementations. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12578
Venue
VLDB
Year
2021
Pagerank
5.093636e-05
Overall Rank
11,703 | 19.71%
DOI
10.14778/3476249.3476266

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Authors

BibTeX Citation

@article{chen_vldb21,
        title = {{Approximating Median Absolute Deviation with Bounded Error}},
        author = {Chen, Zhiwei and Song, Shaoxu and Wei, Ziheng and Fang, Jingyun and Long, Jiang},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {11},
        pages = {2114--2126},
        doi = {10.14778/3476249.3476266},
        url = {https://doi.org/10.14778/3476249.3476266},
        year = {2021}
}

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9,386 Determining Exact Quantiles with Randomized Summaries 2024 SIGMOD 5.2755515e-05
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10,675 Randomized Sketches for Quantile in LSM-tree based Store 2025 SIGMOD 5.093636e-05
11,450 CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space 2023 VLDB 5.093636e-05
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