- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Bayes Factors for Mixed Models: a Discussion ; volume:6 ; number:1 ; day:16 ; month:2 ; year:2023 ; pages:140-158 ; date:3.2023
Computational brain & behavior ; 6, Heft 1 (16.2.2023), 140-158, 3.2023
- Creator
-
Doorn, Johnny van
Haaf, Julia M.
Stefan, Angelika M.
Wagenmakers, Eric-Jan
Cox, Gregory Edward
Davis-Stober, Clintin P.
Heathcote, Andrew
Heck, Daniel W.
Kalish, Michael
Kellen, David
Matzke, Dora
Morey, Richard D.
Nicenboim, Bruno
Ravenzwaaij, Don van
Rouder, Jeffrey N.
Schad, Daniel J.
Shiffrin, Richard M.
Singmann, Henrik
Vasishth, Shravan
Veríssimo, João
Bockting, Florence
Chandramouli, Suyog
Dunn, John C.
Gronau, Quentin F.
Linde, Maximilian
McMullin, Sara D.
Navarro, Danielle
Schnuerch, Martin
Yadav, Himanshu
Aust, Frederik
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s42113-022-00160-3
- URN
-
urn:nbn:de:101:1-2024011911163635997529
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:21 AM CEST
Data provider
This object is provided by:
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Associated
- Doorn, Johnny van
- Haaf, Julia M.
- Stefan, Angelika M.
- Wagenmakers, Eric-Jan
- Cox, Gregory Edward
- Davis-Stober, Clintin P.
- Heathcote, Andrew
- Heck, Daniel W.
- Kalish, Michael
- Kellen, David
- Matzke, Dora
- Morey, Richard D.
- Nicenboim, Bruno
- Ravenzwaaij, Don van
- Rouder, Jeffrey N.
- Schad, Daniel J.
- Shiffrin, Richard M.
- Singmann, Henrik
- Vasishth, Shravan
- Veríssimo, João
- Bockting, Florence
- Chandramouli, Suyog
- Dunn, John C.
- Gronau, Quentin F.
- Linde, Maximilian
- McMullin, Sara D.
- Navarro, Danielle
- Schnuerch, Martin
- Yadav, Himanshu
- Aust, Frederik
- SpringerLink (Online service)
Other Objects (12)
Bayes Factors for Mixed Models
Bayes Factors for Mixed Models: Perspective on Responses
Bayes Factor Model Comparisons Across Parameter Values for Mixed Models
Empirical Bayes Methods for Dynamic Factor Models
Bayes factor between Student t and Gaussian mixed models within an animal breeding context
Objective Bayes Factors for Gaussian Directed Acyclic Graphical Models
Bayes Factors for Comparison of Two-Way ANOVA Models
R-VGAL: a sequential variational Bayes algorithm for generalised linear mixed models
Evaluating Manifest Monotonicity Using Bayes Factors
Replication Bayes factors from evidence updating
Bayes factors for peri-null hypotheses
Improving practical relevance of Bayes factors
Bayes Factors for Mixed Models
Bayes Factors for Mixed Models: Perspective on Responses
Bayes Factor Model Comparisons Across Parameter Values for Mixed Models
Empirical Bayes Methods for Dynamic Factor Models
Bayes factor between Student t and Gaussian mixed models within an animal breeding context
Objective Bayes Factors for Gaussian Directed Acyclic Graphical Models
Bayes Factors for Comparison of Two-Way ANOVA Models
R-VGAL: a sequential variational Bayes algorithm for generalised linear mixed models
Evaluating Manifest Monotonicity Using Bayes Factors
Replication Bayes factors from evidence updating
Bayes factors for peri-null hypotheses
Improving practical relevance of Bayes factors
Bayes Factors for Mixed Models
Bayes Factors for Mixed Models: Perspective on Responses
Bayes Factor Model Comparisons Across Parameter Values for Mixed Models
Empirical Bayes Methods for Dynamic Factor Models
Bayes factor between Student t and Gaussian mixed models within an animal breeding context
Objective Bayes Factors for Gaussian Directed Acyclic Graphical Models
Bayes Factors for Comparison of Two-Way ANOVA Models
R-VGAL: a sequential variational Bayes algorithm for generalised linear mixed models
Evaluating Manifest Monotonicity Using Bayes Factors
Replication Bayes factors from evidence updating
Bayes factors for peri-null hypotheses