Nonlinear Estimation

Nonlinear Estimation is an estimation method that belongs to the class of statistical inference techniques, specifically characterized by its use of nonlinear models to relate observed data to unknown parameters, thereby distinguishing it from linear estimation methods that assume linear relationships.

1.5K

Publications

142.9K

Citations

3.2K

Authors

1.1K

Institutions

Publications per year

2017–2026

217

Authors

3.2K

  1. JS
    J. Schoukens

    Vrije Universiteit Brussel, Belgium

    12 publications · 443 citations

    12

    h-index

  2. AR
    A. Ronald Gallant

    North Carolina State University, United States

    12 publications · 1.2K citations

    11

    h-index

  3. UD
    Uwe D. Hanebeck

    Karlsruhe Institute of Technology, Germany

    10 publications · 237 citations

    10

    h-index

  4. ÉW
    Éric Walter

    Pacific Northwest National Laboratory, United States

    10 publications · 790 citations

    10

    h-index

  5. SB
    S.A. Billings

    University of Sheffield, United Kingdom

    9 publications · 459 citations

    9

    h-index

1–5 of 3.2K

Venues

  1. Journal of the American Statistical Association

    45 publications · 7.7K citations

    27

    h-index

  2. Technometrics

    38 publications · 6.1K citations

    26

    h-index

  3. IEEE Transactions on Signal Processing

    37 publications · 1.8K citations

    25

    h-index

  4. IEEE Transactions on Automatic Control

    37 publications · 4.4K citations

    23

    h-index

  5. Journal of Econometrics

    27 publications · 2.3K citations

    22

    h-index

1–5