Robust Bayesian Sample Size
Robust Bayesian Sample Size is a Bayesian sample size determination method that ensures reliable and stable inference under model misspecification or uncertainty by incorporating prior robustness and sensitivity analysis into the design of experiments.
12
Publications
355
Citations
22
Authors
12
Institutions
Publications per year
2017–2026
1
12
1–5 of 12
22
4
h-index
2
h-index
1
h-index
Indiana University – Purdue University Indianapolis, United States
1 publications · 17 citations
1
h-index
1
h-index
1–5 of 22
12

Sapienza University of Rome
Rome, Italy
3 h-index
6 publications
292 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
3 publications
84 citations
Indiana University Kokomo
Kokomo, United States
1 h-index
3 publications
150 citations
Statistics Sweden
Örebro, Sweden
1 h-index
1 publications
18 citations

Durham University
Durham, United Kingdom
1 h-index
1 publications
18 citations

Baylor University
Waco, United States
1 h-index
1 publications
12 citations

The University of Sydney
Sydney, Australia
1 h-index
1 publications
12 citations

University of Electro-Communications
Tokyo, Japan
1 h-index
1 publications
10 citations
1–8 of 12
4 publications · 102 citations
4
h-index
2 publications · 40 citations
2
h-index
CSDA · 2 publications · 30 citations
2
h-index
1 publications · 69 citations
1
h-index
1 publications · 50 citations
1
h-index
1–5