Cargando…

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

Detalles Bibliográficos
Autores principales: Koenig, Christoph, Depaoli, Sarah, Liu, Haiyan, van de Schoot, Rens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695424/
https://www.ncbi.nlm.nih.gov/pubmed/34956030
http://dx.doi.org/10.3389/fpsyg.2021.809719
_version_ 1784619574430269440
author Koenig, Christoph
Depaoli, Sarah
Liu, Haiyan
van de Schoot, Rens
author_facet Koenig, Christoph
Depaoli, Sarah
Liu, Haiyan
van de Schoot, Rens
author_sort Koenig, Christoph
collection PubMed
description
format Online
Article
Text
id pubmed-8695424
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-86954242021-12-24 Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research Koenig, Christoph Depaoli, Sarah Liu, Haiyan van de Schoot, Rens Front Psychol Psychology Frontiers Media S.A. 2021-12-09 /pmc/articles/PMC8695424/ /pubmed/34956030 http://dx.doi.org/10.3389/fpsyg.2021.809719 Text en Copyright © 2021 Koenig, Depaoli, Liu and van de Schoot. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Koenig, Christoph
Depaoli, Sarah
Liu, Haiyan
van de Schoot, Rens
Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research
title Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research
title_full Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research
title_fullStr Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research
title_full_unstemmed Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research
title_short Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research
title_sort editorial: moving beyond non-informative prior distributions: achieving the full potential of bayesian methods for psychological research
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695424/
https://www.ncbi.nlm.nih.gov/pubmed/34956030
http://dx.doi.org/10.3389/fpsyg.2021.809719
work_keys_str_mv AT koenigchristoph editorialmovingbeyondnoninformativepriordistributionsachievingthefullpotentialofbayesianmethodsforpsychologicalresearch
AT depaolisarah editorialmovingbeyondnoninformativepriordistributionsachievingthefullpotentialofbayesianmethodsforpsychologicalresearch
AT liuhaiyan editorialmovingbeyondnoninformativepriordistributionsachievingthefullpotentialofbayesianmethodsforpsychologicalresearch
AT vandeschootrens editorialmovingbeyondnoninformativepriordistributionsachievingthefullpotentialofbayesianmethodsforpsychologicalresearch