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
Parents
98
Nonstationary cluster-size inference with random field and permutation methods
Satoru Hayasaka, K. Luan Phan, Israel Liberzon et al. · NeuroImage · 2004 · 671 citations
Random field models in image analysis
Richard C. Dubes, Anil K. Jain · Journal of Applied Statistics · 1989 · 419 citations
Efficiency of pseudolikelihood estimation for simple Gaussian fields
Julian Besag · Biometrika · 1977 · 318 citations
1–5 of 98
185
7
h-index
4
h-index
3
h-index
3
h-index
3
h-index
1–5 of 185
135
Ben-Gurion University of the Negev
Beersheba, Israel
7 h-index
9 publications
306 citations
National University of Singapore
Singapore, Singapore
5 h-index
7 publications
351 citations
Rensselaer Polytechnic Institute
Troy, United States
4 h-index
4 publications
151 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
4 publications
747 citations

City University of Hong Kong
Hong Kong, Hong Kong
4 h-index
7 publications
530 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
8 publications
391 citations
University of California, Davis
Davis, United States
4 h-index
7 publications
155 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
3 h-index
3 publications
100 citations
1–8 of 135
7 publications · 238 citations
7
h-index
TPAMI · 7 publications · 554 citations
7
h-index
5 publications · 553 citations
5
h-index
4 publications · 833 citations
4
h-index
4 publications · 133 citations
4
h-index
1–5