The quadratic scoring rule as a basis for experiment comparison.

Pilar García Carrasco

Qüestiió (1984)

  • Volume: 8, Issue: 3, page 121-126
  • ISSN: 0210-8054

Abstract

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In this paper, the role of strictly proper quadratic utility measures in Bayesian inference and experiment comparison is investigated. This utility function, which is not local, provides a good basis for the resolution of many real situations which are not purely inferential. By recognizing the decision problem underlying statistical inference, we obtain the criteria for experiment comparison based on the quadratic scoring rule. Properties and relations with other criteria are studied, particularly with those based on sufficiency and on the maximation of the informational energy gain. Finally some particular cases are commented and new areas of research suggested.

How to cite

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García Carrasco, Pilar. "The quadratic scoring rule as a basis for experiment comparison.." Qüestiió 8.3 (1984): 121-126. <http://eudml.org/doc/40041>.

@article{GarcíaCarrasco1984,
abstract = {In this paper, the role of strictly proper quadratic utility measures in Bayesian inference and experiment comparison is investigated. This utility function, which is not local, provides a good basis for the resolution of many real situations which are not purely inferential. By recognizing the decision problem underlying statistical inference, we obtain the criteria for experiment comparison based on the quadratic scoring rule. Properties and relations with other criteria are studied, particularly with those based on sufficiency and on the maximation of the informational energy gain. Finally some particular cases are commented and new areas of research suggested.},
author = {García Carrasco, Pilar},
journal = {Qüestiió},
keywords = {Inferencia bayesiana; Teoría de la información; Teoría de la decisión; Comparación de soluciones; Utilidad},
language = {eng},
number = {3},
pages = {121-126},
title = {The quadratic scoring rule as a basis for experiment comparison.},
url = {http://eudml.org/doc/40041},
volume = {8},
year = {1984},
}

TY - JOUR
AU - García Carrasco, Pilar
TI - The quadratic scoring rule as a basis for experiment comparison.
JO - Qüestiió
PY - 1984
VL - 8
IS - 3
SP - 121
EP - 126
AB - In this paper, the role of strictly proper quadratic utility measures in Bayesian inference and experiment comparison is investigated. This utility function, which is not local, provides a good basis for the resolution of many real situations which are not purely inferential. By recognizing the decision problem underlying statistical inference, we obtain the criteria for experiment comparison based on the quadratic scoring rule. Properties and relations with other criteria are studied, particularly with those based on sufficiency and on the maximation of the informational energy gain. Finally some particular cases are commented and new areas of research suggested.
LA - eng
KW - Inferencia bayesiana; Teoría de la información; Teoría de la decisión; Comparación de soluciones; Utilidad
UR - http://eudml.org/doc/40041
ER -

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