Accounting for estimation uncertainty and shrinkage in Bayesian within-subject intervals: a comment on Nathoo, Kilshaw, and Masson (2018)

DOI10.1016/j.jmp.2018.11.002zbMath1416.62424OpenAlexW2902847526MaRDI QIDQ1736022

Daniel W. Heck

Publication date: 29 March 2019

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

Full work available at URL: http://psyarxiv.com/whp8t/

zbMATH Keywords

linear mixed modelrepeated-measures designscredible intervalwithin-subject Bayesian inferencehighest-density interval

Mathematics Subject Classification ID

Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (1)

Cultural consensus theory for two-dimensional location judgments

Uses Software

• S-PLUS
• lme4
• JAGS
• Stan
• BayesDA
• MEMSS
• TreeBUGS

Cites Work

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• Default Bayes factors for ANOVA designs
• A better (Bayesian) interval estimate for within-subject designs
• What can we learn from plausible values?
• Mixed-Effects Models in S and S-PLUS
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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