Species Sampling Models
Species Sampling Models is a class of Bayesian nonparametric probability models that generate exchangeable random partitions of data by assigning observations to latent categories interpreted as "species," distinguished by their use of random discrete probability measures—such as the Dirichlet process—to model the unknown number and frequencies of these categories.
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Using Niche‐Based Models to Improve the Sampling of Rare Species
Antoine Guisan, Olivier Broennimann, Robin Engler et al. · Conservation Biology · 2006 · 518 citations
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Université de Picardie Jules Verne
Amiens, France
3 h-index
4 publications
98 citations
University of Kent
Canterbury, United Kingdom
3 h-index
4 publications
75 citations
German Centre for Integrative Biodiversity Research
Leipzig, Germany
3 h-index
3 publications
162 citations
University of California, Berkeley
Berkeley, United States
3 h-index
6 publications
963 citations

University of Turin
Turin, Italy
3 h-index
7 publications
175 citations

University of Bologna
Bologna, Italy
3 h-index
3 publications
94 citations
National Tsing Hua University
Hsinchu, Taiwan
2 h-index
5 publications
705 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
58 citations
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3 publications · 513 citations
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