Bayesian Prediction Intervals
Bayesian Prediction Intervals is a statistical interval estimate that belongs to the class of Bayesian inference methods, distinguished by its quantification of uncertainty in predicting future observations or effect sizes in meta-analysis through the posterior predictive distribution, incorporating both within-study variability and between-study heterogeneity.
110
Publications
4.5K
Citations
237
Authors
162
Institutions
Publications per year
2017–2026
22
Parents
110
A Bayesian forecasting model: predicting U.S. male mortality
Claudia Pedroza · Biostatistics · 2006 · 144 citations · Full text
Business, Biostatistics, Demography +17
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162

Assiut University
Asyut, Egypt
7 h-index
13 publications
371 citations

Al-Azhar University
Cairo, Egypt
6 h-index
9 publications
217 citations
Fayoum University
Al Fayyum, Egypt
5 h-index
5 publications
137 citations

Alexandria University
Alexandria, Egypt
5 h-index
6 publications
127 citations

McMaster University
Hamilton, Canada
4 h-index
4 publications
99 citations

Cairo University
Giza, Egypt
4 h-index
5 publications
96 citations
Iowa State University
Ames, United States
3 h-index
5 publications
93 citations
University of Jordan
Amman, Jordan
3 h-index
3 publications
101 citations
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7 publications · 155 citations
7
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7 publications · 283 citations
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JSCS · 7 publications · 164 citations
7
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6 publications · 217 citations
6
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3 publications · 101 citations
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