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Editorial
. 2021 Dec 9:12:809719.
doi: 10.3389/fpsyg.2021.809719. eCollection 2021.

Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research

Christoph Koenig  1 , Sarah Depaoli  2 , Haiyan Liu  2 , Rens van de Schoot  3
Affiliations
Editorial

Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research

Christoph Koenig et al. Front Psychol. .
No abstract available

Keywords: Bayesian modeling and inference; Bayesian statistics; cumulative science; informative prior distributions; prior distributions; psychological research.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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  • Editorial on the Research Topic Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research

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