Bayesian Population Estimation
Bayesian Population Estimation is a statistical inference framework that uses Bayesian methods to estimate population size by updating prior beliefs with observed data through probabilistic modeling.
244
Publications
14.3K
Citations
772
Authors
383
Institutions
Publications per year
2017–2026
30
Parents
244
Emily K. Latch, Guha Dharmarajan, Jeffrey C. Glaubitz et al. · Conservation Genetics · 2006 · 662 citations
Life Sciences, Biology, Genetics +17
ABCtoolbox: a versatile toolkit for approximate Bayesian computations
Daniel Wegmann, Christoph Leuenberger, Samuel Neuenschwander et al. · BMC Bioinformatics · 2010 · 450 citations · Full text
Bruce G. Marcot, Richard S. Holthausen, Martin G. Raphael et al. · Forest Ecology and Management · 2001 · 416 citations
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383
University of Washington
Seattle, United States
11 h-index
17 publications
1.2K citations
University of Cambridge
Cambridge, United Kingdom
8 h-index
9 publications
514 citations
University of Michigan
Ann Arbor, United States
8 h-index
27 publications
1.7K citations
Colorado State University
Fort Collins, United States
7 h-index
12 publications
586 citations

University of St Andrews
St Andrews, United Kingdom
7 h-index
10 publications
854 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
12 publications
847 citations
Purdue University West Lafayette
West Lafayette, United States
6 h-index
9 publications
2.2K citations
University of Bern
Bern, Switzerland
6 h-index
8 publications
2K citations
1–8 of 383
22 publications · 1K citations
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10 publications · 582 citations
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9 publications · 563 citations
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7 publications · 435 citations
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6 publications · 297 citations
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