Constrained Maximum Likelihood Estimation

Constrained Maximum Likelihood Estimation is a method of parameter estimation that, within the framework of maximum likelihood, restricts the parameter space according to specified constraints, distinguishing itself from unconstrained maximum likelihood estimation by incorporating a priori restrictions on the parameters to ensure estimates satisfy predetermined conditions.

180

Publications

8.6K

Citations

373

Authors

206

Institutions

Publications per year

2017–2026

23

Authors

373

  1. RL
    Richard L. Dykstra

    University of Iowa, United States

    5 publications · 118 citations

    5

    h-index

  2. LN
    Leonardo Neumeyer

    SRI International, United States

    3 publications · 508 citations

    3

    h-index

  3. CJ
    Charles J. Geyer

    University of Minnesota, United States

    3 publications · 385 citations

    3

    h-index

  4. MT
    Man‐Lai Tang

    Hong Kong Baptist University, Hong Kong SAR China

    3 publications · 72 citations

    3

    h-index

  5. TJ
    Teng Joon Lim

    National University of Singapore, Singapore

    3 publications · 157 citations

    3

    h-index

1–5 of 373

Venues

  1. 9

    h-index

  2. The Annals of Statistics

    8 publications · 886 citations

    8

    h-index

  3. IEEE Transactions on Signal Processing

    7 publications · 427 citations

    7

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 6 publications · 111 citations

    6

    h-index

  5. Statistics in Medicine

    5 publications · 172 citations

    5

    h-index

1–5