Imprecise Probabilities from Imprecise Descriptions of Real Numbers

J Lawry, Gonzalez Ines, Tang Yongchuan

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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A prototype theory interpretation of the label semantics framework is proposed as a possible model of imprecise descriptions of real numbers. It is shown that within this framework conditioning given imprecise descriptions of a real variable naturally results in imprecise probabilities. An inference method is proposed from data in the form of a set of imprecise descriptions,which naturally suggests an algorithm for estimating lower and upper probabilities given imprecise data values.
Translated title of the contributionImprecise Probabilities from Imprecise Descriptions of Real Numbers
Original languageEnglish
Title of host publicationInternation Symposium on Imprecise Probabilities: Theory and Applications, Durham, UK
EditorsT Augustin etal
Pages277 - 286
Publication statusPublished - 2009

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