Conformal Regression

Conformal Regression is a statistical regression framework that belongs to the class of conformal prediction methods, distinguished by its ability to generate prediction intervals with finite-sample validity guarantees without relying on parametric assumptions.

69

Publications

4.4K

Citations

150

Authors

63

Institutions

Publications per year

2017–2026

47

Parents

Authors

150

  1. UN
    Ulf Norinder

    AstraZeneca (Sweden), Sweden

    11 publications · 590 citations

    11

    h-index

  2. VV
    Vladimir Vovk

    Royal Holloway University of London, United Kingdom

    9 publications · 1.1K citations

    9

    h-index

  3. HB
    Henrik Boström

    Stockholm University, Sweden

    6 publications · 308 citations

    6

    h-index

  4. AG
    Alex Gammerman

    Royal Holloway University of London, United Kingdom

    6 publications · 250 citations

    6

    h-index

  5. UJ
    Ulf Johansson

    University of Borås, Sweden

    6 publications · 308 citations

    6

    h-index

1–5 of 150

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 876 citations

    11

    h-index

  2. 6

    h-index

  3. Neurocomputing

    3 publications · 59 citations

    3

    h-index

  4. Pattern Recognition

    3 publications · 115 citations

    3

    h-index

  5. Machine Learning

    3 publications · 397 citations

    3

    h-index

1–5