Fast and credible likelihood-free cosmology with truncated marginal neural ratio estimation

Author(s):
Cole, A.; Miller, B.K.; Witte, S.J.; Cai, X. (0000-0002-1116-2705); Grootes, M.W.; Nattino, F.; Weniger, C.
Published
2022
Publication type
Article / Letter to editor
Bayesian reasoningMachine learningStatistical sampling techniquesCosmological parameters from CMBRAstrophysics - cosmology and nongalactic astrophysicsAstrophysics - instrumentation and methods for astrophysicsComputer science - machine learning
Date issued
2022
Language
English
Is part of
Journal of Cosmology and Astroparticle Physics (2022), No. 9, 004
hdl
1887/3515339
doi
10.1088/1475-7516/2022/09/004
URL
https://ui.adsabs.harvard.edu/abs/2022JCAP...09..004C