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

Authors

1.2K

  1. VV
    Vladimir Vovk

    Royal Holloway University of London, United Kingdom

    11 publications · 1.3K citations

    11

    h-index

  2. EZ
    Eric Zitzewitz

    Dartmouth College, United States

    5 publications · 1.1K citations

    5

    h-index

  3. JW
    Justin Wolfers

    National Bureau of Economic Research, United States

    5 publications · 1.1K citations

    5

    h-index

  4. NC
    Nicolò Cesa‐Bianchi

    University of Milan, Italy

    5 publications · 369 citations

    5

    h-index

  5. IR
    I. R. Dunsmore

    University of Sheffield, United Kingdom

    5 publications · 203 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. Journal of the American Statistical Association

    30 publications · 9.1K citations

    23

    h-index

  2. arXiv (Cornell University)

    Repository · 13 publications · 834 citations

    12

    h-index

  3. The Annals of Statistics

    11 publications · 472 citations

    11

    h-index

  4. Journal of Statistical Planning and Inference

    11 publications · 429 citations

    11

    h-index

  5. Biometrika

    10 publications · 502 citations

    10

    h-index

1–5