Credibility With Sparse Data
Credibility with Sparse Data is a methodological framework within credibility theory that quantifies the reliability of estimates or predictions when limited observational data are available, distinguished by its integration of prior knowledge and data-scarce adjustments to maintain statistical robustness.
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2017–2026
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Credibility Weighted Hazard Estimation
Jens Perch Nielsen, Bjørn Lunding Sandqvist · Astin Bulletin · 2000 · 11 citations · Full text
Business, Insurance, Risk Management +17
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Universität Hamburg
Hamburg, Germany
1 h-index
1 publications
36 citations
Chongqing University of Posts and Telecommunications
Chongqing, China
1 h-index
3 publications
30 citations
IBM (United States)
Armonk, United States
1 h-index
1 publications
10 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
5 publications
50 citations
Rensselaer Polytechnic Institute
Troy, United States
1 h-index
1 publications
10 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
1 publications
15 citations
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2 publications · 51 citations
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Repository · 1 publications · 16 citations
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1 publications · 10 citations
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1 publications · 11 citations
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Repository · 1 publications · 12 citations
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