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03/09/2023
SEAM: An Integrated Activation-Coupled Model of Sentence Processing and Eye Movements in Reading
Models of eye-movement control during reading, developed largely within ...
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03/04/2022
Data aggregation can lead to biased inferences in Bayesian linear mixed models
Bayesian linear mixed-effects models are increasingly being used in the ...
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03/15/2021
Workflow Techniques for the Robust Use of Bayes Factors
Inferences about hypotheses are ubiquitous in the cognitive sciences. Ba...
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08/10/2020
When words collide: Bayesian meta-analyses of distractor and target properties in the picture-word interference paradigm
In the picture-word interference paradigm, participants name pictures wh...
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04/29/2019
Toward a principled Bayesian workflow in cognitive science
Experiments in research on memory, language, and in other areas of cogni...
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01/21/2019
The posterior probability of a null hypothesis given a statistically significant result
Some researchers informally assume that, when they carry out a null hypo...
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07/27/2018
How to capitalize on a priori contrasts in linear (mixed) models: A tutorial
Factorial experiments in research on memory, language, and in other area...
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03/14/2017
A computational investigation of sources of variability in sentence comprehension difficulty in aphasia
We present a computational evaluation of three hypotheses about sources ...
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03/12/2017
Feature overwriting as a finite mixture process: Evidence from comprehension data
The ungrammatical sentence "The key to the cabinets are on the table" is...
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02/02/2017
Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses
We present a case-study demonstrating the usefulness of Bayesian hierarc...
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12/13/2016
Models of retrieval in sentence comprehension: A computational evaluation using Bayesian hierarchical modeling
Research on interference has provided evidence that the formation of dep...
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10/24/2016