van Doorn, J;
Haaf, JM;
Stefan, AM;
Wagenmakers, EJ;
Cox, GE;
Davis-Stober, CP;
Heathcote, A;
... Aust, F; + view all
(2023)
Bayes Factors for Mixed Models: a Discussion.
Computational Brain and Behavior
, 6
(1)
pp. 140-158.
10.1007/s42113-022-00160-3.
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Abstract
van Doorn et al. (2021) outlined various questions that arise when conducting Bayesian model comparison for mixed effects models. Seven response articles offered their own perspective on the preferred setup for mixed model comparison, on the most appropriate specification of prior distributions, and on the desirability of default recommendations. This article presents a round-table discussion that aims to clarify outstanding issues, explore common ground, and outline practical considerations for any researcher wishing to conduct a Bayesian mixed effects model comparison.
| Type: | Article |
|---|---|
| Title: | Bayes Factors for Mixed Models: a Discussion |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s42113-022-00160-3 |
| Publisher version: | https://doi.org/10.1007/s42113-022-00160-3 |
| Language: | English |
| Additional information: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Bayes factors, Mixed effects, Mixed models, Random effects |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10166083 |
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