Bradley, S orcid.org/0000-0001-9663-7919 (2019) Imprecise Probabilities. In: Beisbart, C and Saam, N, (eds.) Computer Simulation Validation Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives. Springer, Cham , pp. 525-540. ISBN 978-3-319-70766-2
Abstract
This chapter explores the topic of imprecise probabilities (IP) as it relates to model validation. IP is a family of formal methods that aim to provide a better representation of severe uncertainty than is possible with standard probabilistic methods. Among the methods discussed here are using sets of probabilities to represent uncertainty, and using functions that do not satisfy the additivity property. We discuss the basics of IP, some examples of IP in computer simulation contexts, possible interpretations of the IP framework and some conceptual problems for the approach. We conclude with a discussion of IP in the context of model validation.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) Springer Nature Switzerland AG 2019. This is a post-peer-review, pre-copyedit version of a book chapter published in Computer Simulation Validation. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-70766-2_21. |
Keywords: | Imprecise Probabilities; Lower Previsions; Credal sets; Formal epistemology; Computer simulation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Philosophy, Religion and History of Science (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 May 2019 12:29 |
Last Modified: | 10 Apr 2021 00:38 |
Status: | Published |
Publisher: | Springer, Cham |
Identification Number: | 10.1007/978-3-319-70766-2_21 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145944 |