Interval Width Optimization
Interval Width Optimization is a statistical method that systematically minimizes the width of a credible interval while maintaining a specified level of posterior coverage, thereby enhancing precision in Bayesian parameter estimation.
5
Publications
252
Citations
18
Authors
11
Institutions
Publications per year
2017–2026
2
Parents
5
Zhenhua Wang, Youdao Ma, Qinghua Zhang et al. · IEEE Transactions on Systems Man and Cybernetics Systems · 2024 · 20 citations · Full text
1–5 of 5
18
Changchun Institute of Optics, Fine Mechanics and Physics, China
1 publications · 17 citations
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1
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1
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1
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1
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1–5 of 18
11
Bergen Kommune
Bergen, Norway
1 h-index
2 publications
254 citations

Changsha University
Changsha, China
1 h-index
4 publications
508 citations
University of Technology
Korolyov, Russia
1 h-index
3 publications
63 citations
Loughborough University
Loughborough, United Kingdom
1 h-index
3 publications
63 citations

University of Macau
Macao, Macao
1 h-index
1 publications
64 citations

Central South University
Changsha, China
1 h-index
5 publications
635 citations
University of Bergen
Bergen, Norway
1 h-index
2 publications
254 citations

Zhejiang University
Hangzhou, China
1 h-index
3 publications
192 citations
1–8 of 11
Repository · 1 publications · 17 citations
1
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1 publications · 23 citations
1
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1 publications · 127 citations
1
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1 publications · 64 citations
1
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1 publications · 21 citations
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