Bayesian Hurdle Models
Bayesian Hurdle Models is a Bayesian statistical model for count data that combines a binary process modeling the presence or absence of events with a truncated count process for positive outcomes, thereby distinguishing between structural and sampling zeros through prior distributions on model parameters.
17
Publications
513
Citations
81
Authors
48
Institutions
Publications per year
2017–2026
11
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Hui Luan, Leia Minaker, Jane Law · International Journal of Health Geographics · 2016 · 37 citations · Full text
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48
Instituto Español de Oceanografía
Madrid, Spain
2 h-index
10 publications
246 citations
The University of Tokyo
Tokyo, Japan
2 h-index
16 publications
654 citations

Bahir Dar University
Bahir Dar, Ethiopia
1 h-index
2 publications
50 citations
University of Dhaka
Dhaka, Bangladesh
1 h-index
2 publications
94 citations

École de management de Lyon
Lyon, France
1 h-index
1 publications
40 citations
Plant Biosecurity Cooperative Research Centre
Bruce, Australia
1 h-index
4 publications
48 citations
Wageningen University & Research
Wageningen, The Netherlands
1 h-index
1 publications
23 citations
GESIS - Leibniz Institute for the Social Sciences
Mannheim, Germany
1 h-index
4 publications
108 citations
1–8 of 48
3 publications · 105 citations
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1 publications · 18 citations
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1 publications · 12 citations
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1 publications · 37 citations
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1 publications · 19 citations
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