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Sample Size Determination for Bayesian Hierarchical Models Commonly Used in Psycholinguistics
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Analysis of Gibson and Wu data.
Are your random effects normal? A simulation study of methods for estimating whether subjects or items come from more than one population by examining the distribution of random effects in mixed-effects logistic
Are your random effects normal? A simulation study of methods for estimating whether subjects or items come from more than one population by examining the distribution of random effects in mixed-effects logistic
The distributions of the raw, log-transformed, and negative-reciprocal
New paper in Computational Brain and Behavior: Sample size determination for Bayesian hierarchical models commonly used in psycholinguistics
Crosslinguistic evidence against interference from extra-sentential distractors - ScienceDirect
PDF) Hierarchical Regression Modeling for Language Research
Bayes Factors for Mixed Models: a Discussion
Shravan Vasishth's Intro Bayes course home page
Sample Size Determination for Bayesian Hierarchical Models Commonly Used in Psycholinguistics
Bayes Factors for Mixed Models: a Discussion
PDF) Hierarchical Regression Modeling for Language Research
Sample size determination in the context of Bayesian analysis
Crosslinguistic evidence against interference from extra-sentential distractors - ScienceDirect
PDF) How to embrace variation and accept uncertainty in linguistic and psycholinguistic data analysis
