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Robust inference in probability under vague information

Authors
Publisher
Universidad de Granada: Departamento de Ciencias de la Computación e Inteligencia Artificial
Publication Date
Keywords
  • Estimadores Robustos
  • Distribución De Probabilidad
  • Procesos De Decisión
  • Análisis Comparativo
  • Incertidumbre
  • Predicción
Disciplines
  • Logic
  • Mathematics

Abstract

Vague information can be represented as comparison of previsions or comparison of probabilities, and a robust analysis can be done, in order to make inference about some quantity of interest and to measure the imprecision of the answers. In particular, in some decision problems the answer can be unique.

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