Conformal Prediction for Spatially Dependent Data via Sequential Whitening
arXiv:2610.10168v1 Announce Type: new Abstract: Split conformal prediction uses prediction errors on held-out (calibration) data to determine how wide the prediction intervals should be. It guarantees distribution-free finite-sample coverage when these errors and the error at the target site are ex…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-08 04:00 · arXiv stat.ML
Conformal Prediction for Spatially Dependent Data via Sequential Whitening