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We propose a new inference framework called localized conformal prediction.
Barber, R. F., Candes, E. J., Ramdas, A. & Tibshirani, R. J. (2019 b
1903
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Barber, R. F., Candes, E. J., Ramdas, A. & Tibshirani, R. J. (2019 a
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Shafer, G. & Vovk, V. (2008), ‘A tutorial on conformal prediction’, Journal of Machine Learning Research
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Vovk, V., Nouretdinov, I., Gammerman, A. et al. (2009), ‘On-line predictive linear regression’, The Annals of Statistics
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Kong, L. & Mizera, I. (2012), ‘Quantile tomography: using quantiles with multivariate data’, Statistica Sinica
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Vovk, V. (2012), Conditional validity of inductive conformal predictors, in
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Rana, P. (2013), ‘Physicochemical properties of protein tertiary structure data set’, UCI Machine Learning Repository
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Singh, K., Sandhu, R. K. & Kumar, D. (2015), Comment volume prediction using neural networks and decision trees, in
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Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J. & Wasserman, L. (2018), ‘Distribution-free predictive inference for regression’, Journal of the American Statistical Association
2018
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Romano, Y., Patterson, E. & Candes, E. (2019), Conformalized quantile regression, in
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Sesia, M. & Candès, E. J. (2020), ‘A comparison of some conformal quantile regression methods’, Stat
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Lei, J. & Wasserman, L. (2014), ‘Distribution-free prediction bands for non-parametric regression’, Journal of the Royal Statistical Society: Series B (Statistical Methodology)
2014
Cited alongside, same era.
Lei, J., Rinaldo, A. & Wasserman, L. (2015), ‘A conformal prediction approach to explore functional data’, Annals of Mathematics and Artificial Intelligence
2015
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Singh, K. (2015), ‘Facebook comment volume prediction’, International Journal of Simulation: Systems, Science and Technologies
2015
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2021
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2021
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Gupta, C., Kuchibhotla, A. K. & Ramdas, A. (2021), ‘Nested conformal prediction and quantile out-of-bag ensemble methods’, Pattern Recognition
2021
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