Sequential Value Of Information
Sequential Value of Information is a decision-theoretic framework that quantifies the expected utility gained from acquiring information in a stepwise, adaptive manner, distinguishing it from static or batch evaluation by explicitly modeling the temporal sequence and dependencies of observations in an iterative evidence-gathering process.
33
Publications
2.1K
Citations
88
Authors
53
Institutions
Publications per year
2017–2026
7
Parents
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1–5 of 33
88
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Massachusetts Institute of Technology, United States
1 publications · 12 citations
1
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1–5 of 88
53
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
2 publications
38 citations
Princeton University
Princeton, United States
2 h-index
3 publications
1K citations

Cornell University
Ithaca, United States
2 h-index
3 publications
87 citations
Institut National de la Recherche Agronomique du Niger
Niamey, Niger
1 h-index
2 publications
140 citations
Indiana University
Bloomington, United States
1 h-index
1 publications
33 citations
Utrecht University
Utrecht, The Netherlands
1 h-index
2 publications
82 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
17 citations
The University of Tokyo
Tokyo, Japan
1 h-index
1 publications
17 citations
1–8 of 53
2 publications · 20 citations
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JPE · 1 publications · 21 citations
1
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1 publications · 70 citations
1
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HERA · 1 publications · 16 citations
1
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Repository · 1 publications · 85 citations
1
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