A note on a conjectured sharpness principle for probabilistic forecasting with calibration
成果类型：
Article
署名作者：
Pal, Soumik
署名单位：
University of Washington; University of Washington Seattle
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/asp054
发表日期：
2009
页码：
10191023
关键词：
摘要：
This note proves a weak sharpness principle as conjectured by Gneiting et al. (2007) in connection with probabilistic forecasting subject to calibration constraints.