Likelihood Inference
Likelihood Inference is a statistical method that belongs to the class of inference techniques in spatial point process analysis, distinguished by its use of the likelihood function to estimate model parameters and assess uncertainty based on the observed spatial point pattern.
749
Publications
99.6K
Citations
1.5K
Authors
725
Institutions
Publications per year
2017–2026
148
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725

McMaster University
Hamilton, Canada
19 h-index
30 publications
2.1K citations
University of Washington
Seattle, United States
17 h-index
30 publications
4.4K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
27 publications
1.7K citations
University College London
London, United Kingdom
12 h-index
20 publications
654 citations

University of Waterloo
Waterloo, Canada
12 h-index
15 publications
401 citations

Imperial College London
London, United Kingdom
12 h-index
16 publications
41.9K citations
Universidade de São Paulo
São Paulo, Brazil
12 h-index
16 publications
570 citations
University of Michigan
Ann Arbor, United States
11 h-index
22 publications
1.1K citations
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31 publications · 2.5K citations
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26 publications · 41.8K citations
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30 publications · 3.5K citations
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CSDA · 24 publications · 844 citations
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19 publications · 913 citations
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