Adjusted priors for Bayes factors involving reparameterized order constraints

DOI10.1016/j.jmp.2016.05.004zbMath1396.91664arXiv1511.08775OpenAlexW2952951743MaRDI QIDQ313086

Eric‐Jan Wagenmakers, Daniel W. Heck

Publication date: 9 September 2016

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

Full work available at URL: https://arxiv.org/abs/1511.08775

zbMATH Keywords

model selectioninequality constraintsencompassing priormodel complexityMPT modeling

Mathematics Subject Classification ID

Bayesian inference (62F15) Measurement and performance in psychology (91E45) Applications of statistics to psychology (62P15)

Related Items (5)

RT-MPTs: process models for response-time distributions based on multinomial processing trees with applications to recognition memory ⋮ Selecting amongst multinomial models: an apologia for normalized maximum likelihood ⋮ A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling ⋮ Multinomial models with linear inequality constraints: overview and improvements of computational methods for Bayesian inference ⋮ A general approach to prior transformation

Uses Software

• JAGS
• MPTinR
• Multitree

Cites Work

• Unnamed Item
• Prior sensitivity in theory testing: an apologia for the Bayes factor
• Hierarchical multinomial processing tree models: a latent-trait approach
• Beta-MPT: multinomial processing tree models for addressing individual differences
• The Bayes factor for inequality and about equality constrained models
• Representing parametric order constraints in multi-trial applications of multinomial processing tree models
• The importance of complexity in model selection
• Parametric order constraints in multinomial processing tree models: an extension of Knapp and Batchelder (2004)
• A Bayesian approach to testing decision making axioms
• An essay on inequalities and order-restricted inference
• Bayes factors: Prior sensitivity and model generalizability
• The statistical analysis of a model for storage and retrieval processes in human memory
• Probability Theory
• Bayes Factors

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