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
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4.4K
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150
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63
Institutions
Publications per year
2017–2026
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69
Distribution-Free Predictive Inference for Regression
Jing Lei, Max G’Sell, Alessandro Rinaldo et al. · Journal of the American Statistical Association · 2017 · 751 citations
A tutorial on conformal prediction
Glenn Shafer, Vladimir Vovk · arXiv (Cornell University) · 2007 · 625 citations · Full text
Computing, Data Science, Mathematics +13
Regression conformal prediction with random forests
Ulf Johansson, Henrik Boström, Tuve Löfström et al. · Machine Learning · 2014 · 176 citations · Full text
Conditional validity of inductive conformal predictors
Vladimir Vovk · Machine Learning · 2013 · 174 citations · Full text
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Royal Holloway University of London
Egham, United Kingdom
12 h-index
30 publications
1.5K citations

Stockholm University
Stockholm, Sweden
7 h-index
8 publications
520 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
21 publications
4.6K citations
AstraZeneca (Sweden)
Södertälje, Sweden
5 h-index
8 publications
396 citations

Uppsala University
Uppsala, Sweden
4 h-index
13 publications
1K citations

Jönköping University
Jönköping, Sweden
4 h-index
6 publications
153 citations
Stanford University
Stanford, United States
4 h-index
6 publications
263 citations

University of Borås
Borås, Sweden
4 h-index
9 publications
709 citations
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Repository · 11 publications · 876 citations
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6 publications · 229 citations
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3 publications · 59 citations
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3 publications · 115 citations
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3 publications · 397 citations
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