Bayesian Threshold Estimation
Bayesian Threshold Estimation is a statistical method for inferring hearing thresholds that belongs to the class of Bayesian inference techniques and is distinguished by its incorporation of prior knowledge and probabilistic modeling to update threshold estimates based on observed behavioral responses.
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3.1K
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197
Authors
94
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2017–2026
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Bayesian inference in threshold models using Gibbs sampling
D. Sorensen, S. B. Andersen, Daniel Gianola et al. · Genetics Selection Evolution · 1995 · 371 citations · Full text
On biased inferences about variance components in the binary threshold model
C. Moreno, LA García-Cortés, L. Varona et al. · Genetics Selection Evolution · 1997 · 99 citations · Full text
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University of Wisconsin–Madison
Madison, United States
5 h-index
10 publications
1.4K citations
National Institute of Animal Science
Wanju, South Korea
4 h-index
11 publications
1.6K citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
7 publications
188 citations
Danish Cattle Research Centre
Tjele, Denmark
3 h-index
7 publications
312 citations
Virginia Tech
Blacksburg, United States
3 h-index
5 publications
233 citations

UNSW Sydney
Sydney, Australia
3 h-index
4 publications
96 citations
Iowa State University
Ames, United States
3 h-index
8 publications
272 citations

Norwegian University of Life Sciences
Ås, Norway
2 h-index
7 publications
210 citations
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GSE · 7 publications · 675 citations
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4 publications · 193 citations
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JDS · 3 publications · 137 citations
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2 publications · 44 citations
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JASA · 2 publications · 57 citations
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