Maximum Entropy Estimation
Maximum Entropy Estimation is a parameter estimation method that selects the probability distribution with the highest entropy subject to a set of constraints derived from the observed data, thereby ensuring minimal assumptions beyond the given information.
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2017–2026
307
Variants
Maxent EstimationMaximum Entropy Method
Parents
1.6K
Information Theory and Statistical Mechanics
E. T. Jaynes · Physical Review · 1957 · 12.9K citations
Richard G. Pearson, Christopher J. Raxworthy, Miguel Nakamura et al. · Journal of Biogeography · 2006 · 3.1K citations · Full text
Life Sciences, Ecology, Zoology +13
Effects of sample size on the performance of species distribution models
Mary S. Wisz, Robert J. Hijmans, Jin Li et al. · Diversity and Distributions · 2008 · 2.5K citations
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Centre National de la Recherche Scientifique
Paris, France
21 h-index
75 publications
2.7K citations

Chinese Academy of Sciences
Beijing, China
21 h-index
87 publications
3.7K citations
Stanford University
Stanford, United States
19 h-index
37 publications
17.2K citations
University of Cambridge
Cambridge, United Kingdom
19 h-index
47 publications
3.9K citations
University of California, Berkeley
Berkeley, United States
18 h-index
28 publications
1.6K citations
Massachusetts Institute of Technology
Cambridge, United States
16 h-index
27 publications
7.1K citations
Carnegie Mellon University
Pittsburgh, United States
16 h-index
24 publications
3.5K citations
The University of Tokyo
Tokyo, Japan
14 h-index
32 publications
2.3K citations
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JGR · 19 publications · 1.5K citations
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ApJ · 22 publications · 1.2K citations
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