Prediction Theory
Prediction Theory is a formal framework within conditional probability that specifies the principles and methods for deriving optimal predictions by quantifying the likelihood of future events given observed data and underlying probabilistic models.
617
Publications
55.5K
Citations
1.2K
Authors
561
Institutions
Publications per year
2017–2026
97
Parents
617
On the psychology of prediction.
Daniel Kahneman, Amos Tversky · Psychological Review · 1973 · 6.3K citations
Introduction to Probability Models
RL, Sheldon M. Ross · Journal of the American Statistical Association · 1998 · 1.5K citations
1–5 of 617
1.2K
11
h-index
5
h-index
5
h-index
5
h-index
5
h-index
1–5 of 1.2K
561
University of California, Berkeley
Berkeley, United States
12 h-index
18 publications
2K citations
University of Pennsylvania
Philadelphia, United States
11 h-index
23 publications
1.8K citations

Royal Holloway University of London
Egham, United Kingdom
11 h-index
24 publications
2.3K citations
University of Chicago
Chicago, United States
10 h-index
13 publications
1.3K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
16 publications
1.6K citations
The University of Texas at Austin
Austin, United States
8 h-index
12 publications
799 citations
University of Oxford
Oxford, United Kingdom
8 h-index
13 publications
1.9K citations
University of Michigan
Ann Arbor, United States
8 h-index
13 publications
687 citations
1–8 of 561
30 publications · 9.1K citations
23
h-index
Repository · 13 publications · 834 citations
12
h-index
11 publications · 472 citations
11
h-index
11 publications · 429 citations
11
h-index
10 publications · 502 citations
10
h-index
1–5