Statistical Decision Theory is a formal framework within decision theory that prescribes optimal decisions under uncertainty by combining statistical evidence with loss functions to minimize expected risk.
1.2K
Publications
160.1K
Citations
2.1K
Authors
840
Institutions
Publications per year
2017–2026
118
Parents
Publications
1.2K
Yuhai Wu, Vladimir Vapnik · Technometrics · 1999 · 27K citations
Information theory and statistics
Journal of the Franklin Institute · 1959 · 7.2K citations
On the psychology of prediction.
Daniel Kahneman, Amos Tversky · Psychological Review · 1973 · 6.3K citations
1–5 of 1.2K
Authors
2.1K
- RS
10
h-index
- DM
10
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- PK
7
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- AW
7
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- DV
7
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1–5 of 2.1K
Institutions
840
Harvard University
Cambridge, United States
16 h-index
24 publications
5.5K citations
University of Chicago
Chicago, United States
16 h-index
32 publications
3.6K citations
Massachusetts Institute of Technology
Cambridge, United States
14 h-index
25 publications
3.1K citations
Cornell University
Ithaca, United States
13 h-index
19 publications
1.6K citations
University of California, Berkeley
Berkeley, United States
11 h-index
17 publications
1.5K citations
University of Pennsylvania
Philadelphia, United States
11 h-index
25 publications
1.1K citations
Stanford University
Stanford, United States
11 h-index
25 publications
1.3K citations
University of Oxford
Oxford, United Kingdom
10 h-index
11 publications
858 citations
1–8 of 840
Venues
- Journal of the American Statistical Association
57 publications · 16.5K citations
32
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- Technometrics
38 publications · 12.5K citations
28
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- The Annals of Mathematical Statistics
38 publications · 9.5K citations
27
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- IEEE Transactions on Information Theory
28 publications · 3.1K citations
22
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- Journal of the Royal Statistical Society Series A (General)
20 publications · 3K citations
18
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