Mean Squared Error Analysis

Mean Squared Error Analysis is a statistical evaluation method that quantifies the average squared difference between estimated and true values, serving as a measure of estimator accuracy in estimation validation.

485

Publications

46.4K

Citations

898

Authors

451

Institutions

Publications per year

2017–2026

74

Authors

898

  1. YC
    Yonina C. Eldar

    Technion – Israel Institute of Technology, Israel

    12 publications · 505 citations

    10

    h-index

  2. ZB
    Zvika Ben‐Haim

    Technion – Israel Institute of Technology, Israel

    7 publications · 238 citations

    7

    h-index

  3. DL
    David L. Neuhoff

    University of Michigan, United States

    6 publications · 224 citations

    6

    h-index

  4. JN
    J. N. K. Rao

    Carleton University, Canada

    5 publications · 1.2K citations

    5

    h-index

  5. JC
    John C. Duchi

    Stanford University, United States

    5 publications · 379 citations

    5

    h-index

1–5 of 898

Venues

  1. IEEE Transactions on Signal Processing

    29 publications · 1.5K citations

    23

    h-index

  2. IEEE Transactions on Information Theory

    26 publications · 1.5K citations

    21

    h-index

  3. Journal of the American Statistical Association

    24 publications · 2.6K citations

    18

    h-index

  4. The Annals of Statistics

    20 publications · 4.6K citations

    17

    h-index

  5. Communication in Statistics- Theory and Methods

    18 publications · 752 citations

    15

    h-index

1–5