Journal article : Correspondence

On the unknowable limits to prediction

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Yan, J., & Rahal, R. (2025). On the unknowable limits to prediction. Nature Computational Science.

MLA Style

Yan, J., and R. Rahal. “On the Unknowable Limits to Prediction.” Nature Computational Science, Nature Research, 2025.

Chicago Style

Yan, J, and R Rahal. 2025. “On the Unknowable Limits to Prediction.” Nature Computational Science.
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Files:: Yan_and_Rahal_2025_On_the_unknowable.pdf

(Preview, Accepted manuscript, pdf, 403.0KB, Terms of use)

Publisher copy:: 10.1038/s43588-025-00776-y

Authors

+ Yan, J More by this author

Institution:: University of Oxford
Division:: SSD
Department:: Sociology
Role:: Author

+ Rahal, R More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Nuffield Department of Population Health
Role:: Author

+ Leverhulme Trust More from this funder

Funder identifier:: https://ror.org/012mzw131
Grant:: RC-2018-003

+ Economic and Social Research Council More from this funder

Funder identifier:: https://ror.org/03n0ht308

Publisher:: Nature Research
Journal:: Nature Computational Science More from this journal
Publication date:: 2025-03-04
Acceptance date:: 2025-02-03
DOI:: 10.1038/s43588-025-00776-y
EISSN:: 2662-8457

Language:: English
Keywords:: philosophy of prediction

machine learning

computational science
Subtype:: Correspondence
Pubs id:: 2084959
Local pid:: pubs:2084959
Deposit date:: 2025-02-10

Terms of use

Copyright holder:: Yan and Rahal
Copyright date:: 2025
Rights statement:: © 2025, The Author(s), under exclusive licence to Springer Nature America, Inc.
Notes:: The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.

Licence:: CC Attribution (CC BY)

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