3 papers
stat.ME2026
Conformal Prediction for Regression with Clipped Outcomes
Matteo Sesia, Vladimir Svetnik
We study conformal prediction for regression using calibration data with outcomes that are doubly censored (clipped) at known fixed thresholds. We show that existing methods are un…
stat.ME2025
Conformal Survival Bands for Risk Screening under Right-Censoring
Matteo Sesia, Vladimir Svetnik
We propose a method to quantify uncertainty around individual survival distribution estimates using right-censored data, compatible with any survival model. Unlike classical confid…
stat.ME2024
Doubly Robust Conformalized Survival Analysis with Right-Censored Data
Matteo Sesia, Vladimir Svetnik
We present a conformal inference method for constructing lower prediction bounds for survival times from right-censored data, extending recent approaches designed for more restrict…