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

C. Koenig; S. Depaoli; H. Liu; R. van de Schoot

doi:10.3389/fpsyg.2021.809719

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

C. Koenig, S. Depaoli, H. Liu, R. van de Schoot

Research output: Contribution to journal › Editorial › Academic › peer-review

Original language	English
Article number	809719
Pages (from-to)	1-3
Journal	Frontiers in Psychology
Volume	12
DOIs	https://doi.org/10.3389/fpsyg.2021.809719
Publication status	Published - 2021

Keywords

Bayesian statistics
Bayesian modeling and inference
prior distributions
informative prior distributions
cumulative science
psychological research

Access to Document

10.3389/fpsyg.2021.809719Licence: CC BY

fpsyg-12-809719Final published version, 124 KBLicence: CC BY

Cite this

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title = "Editorial: Moving Beyond Non-informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research.",

keywords = "Bayesian statistics, Bayesian modeling and inference, prior distributions, informative prior distributions, cumulative science, psychological research",

author = "C. Koenig and S. Depaoli and H. Liu and {van de Schoot}, R.",

year = "2021",

doi = "10.3389/fpsyg.2021.809719",

language = "English",

volume = "12",

pages = "1--3",

journal = "Frontiers in Psychology",

issn = "1664-1078",

publisher = "Frontiers Media S.A.",

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AU - Koenig, C.

AU - Depaoli, S.

AU - Liu, H.

AU - van de Schoot, R.

PY - 2021

Y1 - 2021

KW - Bayesian statistics

KW - Bayesian modeling and inference

KW - prior distributions

KW - informative prior distributions

KW - cumulative science

KW - psychological research

U2 - 10.3389/fpsyg.2021.809719

DO - 10.3389/fpsyg.2021.809719

M3 - Editorial

SN - 1664-1078

VL - 12

SP - 1

EP - 3

JO - Frontiers in Psychology

JF - Frontiers in Psychology

M1 - 809719

ER -