Probability Encoding
Probability Encoding is a methodological framework in probability judgment that systematically elicits and quantifies subjective beliefs or uncertainties as numerical probabilities, distinguishing itself by formalizing the translation of intuitive or qualitative assessments into coherent, decision-analytic probabilistic representations.
55
Publications
4.8K
Citations
119
Authors
79
Institutions
Publications per year
2017–2026
16
Parents
55
1–5 of 55
119
University of North Carolina at Chapel Hill, United States
6 publications · 528 citations
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3
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3
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3
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2
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1–5 of 119
79
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
5 publications
134 citations
Yale University
New Haven, United States
3 h-index
5 publications
201 citations

Radboud University Nijmegen
Nijmegen, The Netherlands
3 h-index
5 publications
352 citations
University of California, San Francisco
San Francisco, United States
2 h-index
6 publications
842 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
337 citations
Defence Research and Development Canada
Ottawa, Canada
2 h-index
2 publications
36 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
117 citations

University of Oslo
Oslo, Norway
2 h-index
2 publications
82 citations
1–8 of 79
3 publications · 142 citations
3
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3 publications · 1.1K citations
3
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3 publications · 335 citations
3
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2 publications · 33 citations
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2 publications · 33 citations
2
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