Archivio istituzionale della ricerca dell'Università degli Studi di Palermo
IRIS è il sistema di gestione integrata dei dati della ricerca (persone, pubblicazioni, progetti, attività) adottato dall’Università di Palermo, e ha lo scopo di raccogliere, conservare, documentare, e diffondere ad accesso aperto le informazioni relative alla produzione scientifica degli autori afferenti all’Ateneo.
EnglishWe propose and motivate an expanded version of the logarithmic score for forecasting distributions, termed the Total Log score. It incorporates the usual logarithmic score, which is recognised as incomplete and has been mistakenly associated with the likelihood principle. The expectation of the Total Log score equals the Negentropy plus the Negextropy of the distribution. We examine both discrete and continuous forms of the scoring rule, and we discuss issues of scaling for scoring assessments. The analysis suggests the dual tracking of the quadratic score along with the usual log score when assessing the qualities of probability distributions. An application to the sequential scoring of forecast distributions for the daily rate of stock returns displays the usefulness of the proposal.
Lad, F., Sanfilippo, G., & Agro', G. (2012). Completing the logarithmic scoring rule for assessing probability distributions. In Julio Michael Stern and Marcelo De Souza Lauretto and Adriano Polpo and Marcio Alves Diniz (a cura di), XI BRAZILIAN MEETING ON BAYESIAN STATISTICS: EBEB 2012 (pp. 13-30). AIP - Springer.
| Data di pubblicazione: | 2012 | |
| Titolo: | Completing the logarithmic scoring rule for assessing probability distributions | |
| Autori: | ||
| Citazione: | Lad, F., Sanfilippo, G., & Agro', G. (2012). Completing the logarithmic scoring rule for assessing probability distributions. In Julio Michael Stern and Marcelo De Souza Lauretto and Adriano Polpo and Marcio Alves Diniz (a cura di), XI BRAZILIAN MEETING ON BAYESIAN STATISTICS: EBEB 2012 (pp. 13-30). AIP - Springer. | |
| Abstract: | We propose and motivate an expanded version of the logarithmic score for forecasting distributions, termed the Total Log score. It incorporates the usual logarithmic score, which is recognised as incomplete and has been mistakenly associated with the likelihood principle. The expectation of the Total Log score equals the Negentropy plus the Negextropy of the distribution. We examine both discrete and continuous forms of the scoring rule, and we discuss issues of scaling for scoring assessments. The analysis suggests the dual tracking of the quadratic score along with the usual log score when assessing the qualities of probability distributions. An application to the sequential scoring of forecast distributions for the daily rate of stock returns displays the usefulness of the proposal. | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1063/1.4759585 | |
| URL: | http://link.aip.org/link/?APC/1490/13/1 | |
| Settore Scientifico Disciplinare: | Settore MAT/06 - Probabilita' E Statistica Matematica Settore SECS-S/01 - Statistica | |
| Appare nelle tipologie: | 2.01 Capitolo o Saggio |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| APC000013.pdf | Paper | N/A | Administrator Richiedi una copia |
http://hdl.handle.net/10447/67003
Copyright © 2021