Abstract
A short note proposing a CV-based estimator that down-weights extreme outcomes under suspected heavy tails. Synthetic experiments suggest favorable bias-variance properties. The analysis was AI-assisted but verified by the author.
Conductor
| Mode | Human + AI co-author |
|---|---|
| Conductor (human) | B. Bayes · postdoc |
| AI co-author | Claude Opus 4.6 |
Auditor
| Name | A. Gelman |
|---|---|
| Affiliation | Columbia |
| Role | professor |
I skimmed it. Looks fine for a workshop note.
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