Bayesian model selection of informative hypotheses for repeated measurements

DOI10.1016/j.jmp.2009.09.003zbMath1181.62026OpenAlexW2052725640MaRDI QIDQ2654148

Maarten Selfhout, Wim H. J. Meeus, Joris Mulder, Irene Klugkist, Herbert Hoijtink, Rens Van De Schoot

Publication date: 15 January 2010

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2009.09.003

zbMATH Keywords

Bayesian model selectionrepeated measurementstraining dataconstrained posterior prior

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Bayesian inference (62F15) Applications of statistics to psychology (62P15)

Related Items

Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses ⋮ Editors' introduction to the special issue ``Bayes factors for testing hypotheses in psychological research: practical relevance and new developments ⋮ Prototypes, exemplars and the response scaling parameter: a Bayes factor perspective ⋮ A Bayesian test for the hot hand phenomenon ⋮ Bayes Factors for Testing Order Constraints on Variances of Dependent Outcomes ⋮ Bayesian evaluation of informative hypotheses for multiple populations ⋮ Objective Bayesian comparison of constrained analysis of variance models ⋮ Is there variation across individuals in processing? Bayesian analysis for systems factorial technology ⋮ A prior predictive loss function for the evaluation of inequality constrained hypotheses ⋮ Evaluating manifest monotonicity using Bayes factors ⋮ Bayes factor testing of multiple intraclass correlations ⋮ Minkowski–Weyl Priors for Models With Parameter Constraints: An Analysis of the BioCycle Study ⋮ Bayesian testing of agreement criteria under order constraints ⋮ Default Bayes factors for ANOVA designs ⋮ Bayes factors for testing order-constrained hypotheses on correlations ⋮ Bayes factor testing of equality and order constraints on measures of association in social research ⋮ Adaptive change-point mixed models applied to data on outpatient tetracycline use in Europe ⋮ Complex Latent Variable Modeling in Educational Assessment ⋮ Automatic Bayes factors for testing equality- and inequality-constrained hypotheses on variances ⋮ Bayes factors for evaluating latent monotonicity in polytomous item response theory models

Uses Software

• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bayesian evaluation of informative hypotheses
• The formal definition of reference priors
• Estimating the dimension of a model
• Training samples in objective Bayesian model selection.
• The importance of complexity in model selection
• Statistical Methods for the Analysis of Repeated Measurements
• The Intrinsic Bayes Factor for Model Selection and Prediction
• Marginal Likelihood from the Gibbs Output
• A STATISTICAL PARADOX
• A comment on D. V. Lindley's statistical paradox
• An information criterion for parameters under a simple order restriction
• Expected-posterior prior distributions for model selection
• Default Bayes Factors for Nonnested Hypothesis Testing
• Bayesian Measures of Model Complexity and Fit
• Bayes Factors
• The Weighted Likelihood Ratio, Linear Hypotheses on Normal Location Parameters