AI Collection

Journal article

Extreme data compression for Bayesian model comparison

Abstract:: Instrumentatio

Publication status:: Published

Peer review status:: Peer reviewed

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Share
Cite

Cite this record

APA Style

Heavens, A. F., Mootoovaloo, A., Trotta, R., & Sellentin, E. (2023). Extreme data compression for Bayesian model comparison. Journal of Cosmology and Astroparticle Physics, 2023(11), 048–048.

MLA Style

Heavens, AF, et al. “Extreme Data Compression for Bayesian Model Comparison.” Journal of Cosmology and Astroparticle Physics, vol. 2023, no. 11, 2023, pp. 048–48.

Chicago Style

Heavens, AF, A Mootoovaloo, R Trotta, and E Sellentin. 2023. “Extreme Data Compression for Bayesian Model Comparison.” Journal of Cosmology and Astroparticle Physics 2023 (11): 048–48.
Print

Access Document

Files:: pdf

(Preview, Version of record, html, 14.0KB, Terms of use)

Publisher copy:: 10.1088/1475-7516/2023/11/048

Authors

+ Heavens, AF More by this author

Role:: Author
ORCID:: 0000-0003-1586-2773

+ Mootoovaloo, A More by this author

Institution:: University of Oxford
Role:: Author
ORCID:: 0000-0003-2259-4519

+ Trotta, R More by this author

Institution:: University of Oxford
Role:: Author
ORCID:: 0000-0002-3415-0707

+ Sellentin, E More by this author

Role:: Author

Publisher:: IOP Publishing
Journal:: Journal of Cosmology and Astroparticle Physics More from this journal
Volume:: 2023
Issue:: 11
Pages:: 048-048
Publication date:: 2023-11-09
DOI:: 10.1088/1475-7516/2023/11/048
ISSN:: 1475-7508

Language:: English
Keywords:: Bayesian probability

Computer science

Algorithm

Bayes factor

Artificial intelligence

Mathematics

Filter (signal processing)

Statistics

Bayesian inference

Frequentist inference

Sampling (signal processing)

Bayes' theorem
Pubs id:: 1576533
Local pid:: pubs:1576533
Source identifiers:: W4388524924
Deposit date:: 2026-06-04
ARK identifier:: ark:/29072/ora_cdd10e09ad2242a7b423cd6279f8f1e8

Terms of use

Copyright date:: 2023

Licence:: CC Attribution (CC BY)

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP