- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Bayes Factors for Mixed Models: Perspective on Responses ; volume:6 ; number:1 ; day:14 ; month:2 ; year:2023 ; pages:127-139 ; date:3.2023
Computational brain & behavior ; 6, Heft 1 (14.2.2023), 127-139, 3.2023
- Creator
-
Doorn, Johnny van
Aust, Frederik
Haaf, Julia M.
Stefan, Angelika M.
Wagenmakers, Eric-Jan
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s42113-022-00158-x
- URN
-
urn:nbn:de:101:1-2024011911162178384405
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Doorn, Johnny van
- Aust, Frederik
- Haaf, Julia M.
- Stefan, Angelika M.
- Wagenmakers, Eric-Jan
- SpringerLink (Online service)
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Evaluating Manifest Monotonicity Using Bayes Factors
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Bayes Factors for Evaluating Latent Monotonicity in Polytomous Item Response Theory Models
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Bayes Factors for Mixed Models
Bayes Factors for Mixed Models: a Discussion
Bayes Factor Model Comparisons Across Parameter Values for Mixed Models
Bayes factor between Student t and Gaussian mixed models within an animal breeding context
Replication Bayes factors from evidence updating
Evaluating Manifest Monotonicity Using Bayes Factors
Bayes factors for peri-null hypotheses
Improving practical relevance of Bayes factors
Bayes Factors for Evaluating Latent Monotonicity in Polytomous Item Response Theory Models
Empirical Bayes Methods for Dynamic Factor Models
Divergent Priors and well Behaved Bayes Factors