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Conformal predictors are set predictors that are automatically valid in the sense of having coverage probability equal to or exceeding a given confidence level.
Determination of sample sizes for setting tolerance limits
Samuel S. Wilks · 1941
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Nonparametric estimation I: Validation of order statistics
Henry Scheffé and John W. Tukey · 1945
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Nonparametric estimation II: Statistically equivalent blocks and tolerance regions – the continuous case
John W. Tukey · 1947
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Nonparametric estimation III: Statistically equivalent blocks and tolerance regions – the discontinuous case
John W. Tukey · 1948
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Nonparametric estimation IV
Donald A. S. Fraser and R. Wormleighton · 1951
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Nonparametric Methods in Statistics
Donald A. S. Fraser · 1957
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Statistical Tolerance Regions: Classical and Bayesian
Irwin Guttman · 1970
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Craig Saunders, Alex Gammerman, and Vladimir Vovk · 1999
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Vladimir Vovk, Alex Gammerman, and Craig Saunders · 1999
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie, Robert Tibshirani, and Jerome Friedman · 2009
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UCI machine learning repository, 2010
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Introduction to Nonparametric Estimation
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Digital library of mathematical functions
National Institute of Standards and Technology · 2012
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Vladimir Vovk · 2012
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