arXiv Open Access 2026

A new strategy for finite-sample valid prediction of future insurance claims in the regression setting

Liang Hong
Lihat Sumber

Abstrak

The extant insurance literature demonstrates a paucity of finite-sample valid prediction intervals of future insurance claims in the regression setting. To address this challenge, this article proposes a new strategy that converts a predictive method in the unsupervised iid (independent identically distributed) setting to a predictive method in the regression setting. In particular, it enables an actuary to obtain infinitely many finite-sample valid prediction intervals in the regression setting.

Topik & Kata Kunci

Penulis (1)

L

Liang Hong

Format Sitasi

Hong, L. (2026). A new strategy for finite-sample valid prediction of future insurance claims in the regression setting. https://arxiv.org/abs/2601.21153

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2026
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓