Geochronology
Geochronology
GChron
Articles | Volume 8, issue 1
Articles | Volume 8, issue 1
https://doi.org/10.5194/gchron-8-191-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gchron-8-191-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 8, issue 1
Research article
 | 
30 Mar 2026
Research article |  | 30 Mar 2026

The conflict between sampling resolution and stratigraphic constraints from a Bayesian perspective: OSL and radiocarbon case studies

Guillaume Guérin, Pierre Guitton-Boussion, Imène Bouafia, and Anne Philippe

Viewed

Total article views: 3,248 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,387 741 120 3,248 157 139 182
  • HTML: 2,387
  • PDF: 741
  • XML: 120
  • Total: 3,248
  • Supplement: 157
  • BibTeX: 139
  • EndNote: 182
Views and downloads (calculated since 12 Mar 2025)
Cumulative views and downloads (calculated since 12 Mar 2025)

Viewed (geographical distribution)

Total article views: 3,248 (including HTML, PDF, and XML) Thereof 3,198 with geography defined and 50 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 18 Aug 2026
Download
Short summary
Bayesian modelling is often used to refine numerically dated chronological sequences, e.g., by making use of stratigraphic constraints. First, a high-resolution dataset based on luminescence dating is modelled with the dedicated R package BayLum. Then, three Bayesian modelling tools – namely BayLum, Chronomodel and OxCal – are compared using a high-resolution, radiocarbon dataset. Modelling artefacts are identified; the strengths and weaknesses of the models are discussed.
Read more
Share