Non-parametric reconstruction of cosmological observables using Gaussian processes regression

Velázquez, J.D.J., Escamilla, L.A. orcid.org/0000-0003-4334-5140, Mukherjee, P. orcid.org/0000-0002-2701-5654 et al. (1 more author) (2024) Non-parametric reconstruction of cosmological observables using Gaussian processes regression. Universe, 10 (12). 464. ISSN 2218-1997

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Item Type: Article
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: cosmology; dark energy; Hubble parameter; deceleration parameter; linear regression; gaussian process
Dates:
  • Published: December 2024
  • Published (online): 20 December 2024
  • Accepted: 16 December 2024
  • Submitted: 3 October 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Jan 2025 15:43
Last Modified: 17 Jan 2025 15:43
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: 10.3390/universe10120464
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