Variance Tradeoff

Variance Tradeoff is a theoretical construct in measurement estimation that characterizes the inverse relationship between the precision of an estimator and its sensitivity to fluctuations in sample data, distinguishing it from other accuracy-related constructs by specifically quantifying the balance between variability and bias in estimation error.

21

Publications

785

Citations

69

Authors

31

Institutions

Publications per year

2017–2026

12

Authors

69

  1. LS
    Liangchen Song

    University at Buffalo, State University of New York, United States

    2 publications · 75 citations

    2

    h-index

  2. GW
    Guoli Wang

    Horizon Robotics (China)

    2 publications · 75 citations

    2

    h-index

  3. HZ
    Helong Zhou

    Horizon Robotics (China)

    2 publications · 75 citations

    2

    h-index

  4. SK
    Seung‐Yeon Kim

    Korea Institute for Advanced Study, South Korea

    1 publications · 16 citations

    1

    h-index

  5. AL
    Andrew Levin

    Federal Reserve Board of Governors, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 69

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 162 citations

    5

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 46 citations

    2

    h-index

  3. Journal of money credit and banking

    1 publications · 23 citations

    1

    h-index

  4. AERA Open

    1 publications · 53 citations

    1

    h-index

  5. Journal of Chemometrics

    1 publications · 38 citations

    1

    h-index

1–5