Random Field Parameter Estimation

Random Field Parameter Estimation is the statistical inference process of determining the parameters governing the probabilistic structure of a random field, distinguished by its focus on characterizing spatial or spatiotemporal dependency patterns through models defined over continuous or discrete domains.

98

Publications

6.7K

Citations

185

Authors

135

Institutions

Publications per year

2017–2026

15

Authors

185

  1. JM
    Joseph M. Francos

    Ben-Gurion University of the Negev, Israel

    7 publications · 204 citations

    7

    h-index

  2. KP
    Kok‐Kwang Phoon

    National University of Singapore, Singapore

    4 publications · 306 citations

    4

    h-index

  3. AK
    Anil K. Jain

    Michigan State University, United States

    3 publications · 460 citations

    3

    h-index

  4. JB
    Julian Besag

    University of Washington, United States

    3 publications · 470 citations

    3

    h-index

  5. AN
    A. Narasimhan

    Rensselaer Polytechnic Institute, United States

    3 publications · 100 citations

    3

    h-index

1–5 of 185

Venues

  1. IEEE Transactions on Signal Processing

    7 publications · 238 citations

    7

    h-index

  2. 7

    h-index

  3. Biometrika

    5 publications · 553 citations

    5

    h-index

  4. IEEE Transactions on Image Processing

    4 publications · 833 citations

    4

    h-index

  5. IEEE Transactions on Information Theory

    4 publications · 133 citations

    4

    h-index

1–5