Lower Bounds Of Error

Lower Bounds of Error is a theoretical construct in error estimation that specifies the minimum level of inaccuracy achievable by any estimator within a given class of models or under a specified set of assumptions, thereby providing a benchmark for evaluating the fundamental limits of estimation performance.

882

Publications

50K

Citations

1.5K

Authors

665

Institutions

Publications per year

2017–2026

119

Authors

1.5K

  1. KF
    Kung Fu Ng

    Chinese University of Hong Kong, Hong Kong SAR China

    9 publications · 280 citations

    9

    h-index

  2. FW
    F. W. J. Olver

    National Institute of Standards and Technology, United States

    7 publications · 251 citations

    7

    h-index

  3. XY
    Xi Yin Zheng

    Yunnan University, China

    6 publications · 169 citations

    6

    h-index

  4. HV
    Huynh Van Ngai

    Quy Nhon University, Vietnam

    6 publications · 476 citations

    6

    h-index

  5. RG
    Roy G. Gordon

    Harvard University, United States

    6 publications · 832 citations

    6

    h-index

1–5 of 1.5K

Venues

  1. SIAM Journal on Numerical Analysis

    50 publications · 4.9K citations

    29

    h-index

  2. IEEE Transactions on Information Theory

    30 publications · 2K citations

    22

    h-index

  3. Mathematical Programming

    18 publications · 1.6K citations

    17

    h-index

  4. IEEE Transactions on Automatic Control

    17 publications · 937 citations

    15

    h-index

  5. Mathematics of Computation

    MCOM · 20 publications · 1K citations

    15

    h-index

1–5