Annals of Statistics
- Ann. Statist.
- Volume 40, Number 1 (2012), 609-637.
Local proper scoring rules of order two
Scoring rules assess the quality of probabilistic forecasts, by assigning a numerical score based on the predictive distribution and on the event or value that materializes. A scoring rule is proper if it encourages truthful reporting. It is local of order k if the score depends on the predictive density only through its value and the values of its derivatives of order up to k at the realizing event. Complementing fundamental recent work by Parry, Dawid and Lauritzen, we characterize the local proper scoring rules of order 2 relative to a broad class of Lebesgue densities on the real line, using a different approach. In a data example, we use local and nonlocal proper scoring rules to assess statistically postprocessed ensemble weather forecasts.
Ann. Statist., Volume 40, Number 1 (2012), 609-637.
First available in Project Euclid: 7 May 2012
Permanent link to this document
Digital Object Identifier
Mathematical Reviews number (MathSciNet)
Zentralblatt MATH identifier
Primary: 62C99: None of the above, but in this section
Secondary: 62M20: Prediction [See also 60G25]; filtering [See also 60G35, 93E10, 93E11] 86A10: Meteorology and atmospheric physics [See also 76Bxx, 76E20, 76N15, 76Q05, 76Rxx, 76U05]
Ehm, Werner; Gneiting, Tilmann. Local proper scoring rules of order two. Ann. Statist. 40 (2012), no. 1, 609--637. doi:10.1214/12-AOS973. https://projecteuclid.org/euclid.aos/1336396185