Training-set conditionally valid prediction sets with right-censored data
Wenwen Si, Hongxiang Qiu · 2026
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Description
Wenwen Si and Hongxiang Qiu build prediction sets for survival times when some outcomes are cut off early, in a paper from two thousand twenty-six. Prediction sets give a range that should contain the true value at a set rate. Standard tools break when the outcome is censored, as with times to an event.
Past fixes assumed all censor times are known, a narrow setup. Their method uses a one-step estimation frame and stays valid for the training setting even when censor times hide. Simulations and a mobile app data set showed gains in efficiency and toughness over past methods.
Catalog record
| CREATOR | Wenwen Si, Hongxiang Qiu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 46 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |