271 citations · 387 across the 7 of their papers we have counts for
8 papers
Modeling semantic association in self-paced reading with language model embeddings
Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi +1
Semantic association between a word and its context has been identified as an important component of reading comprehension, even when word predictability is accounted for. Recent r…
Data aggregation can lead to biased inferences in Bayesian linear mixed models and Bayesian ANOVA: A simulation study
Daniel J. Schad, Bruno Nicenboim, Shravan Vasishth
Bayesian linear mixed-effects models and Bayesian ANOVA are increasingly being used in the cognitive sciences to perform null hypothesis tests, where a null hypothesis that an effe…
Workflow Techniques for the Robust Use of Bayes Factors
Daniel J. Schad, Bruno Nicenboim, Paul-Christian Bürkner +2
Inferences about hypotheses are ubiquitous in the cognitive sciences. Bayes factors provide one general way to compare different hypotheses by their compatibility with the observed…
Feature overwriting as a finite mixture process: Evidence from comprehension data
Shravan Vasishth, Lena A. Jäger, Bruno Nicenboim
The ungrammatical sentence "The key to the cabinets are on the table" is known to lead to an illusion of grammaticality. As discussed in the meta-analysis by Jaeger et al., 2017, f…
Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses
Shravan Vasishth, Nicolas Chopin, Robin Ryder +1
We present a case-study demonstrating the usefulness of Bayesian hierarchical mixture modelling for investigating cognitive processes. In sentence comprehension, it is widely assum…
Models of retrieval in sentence comprehension: A computational evaluation using Bayesian hierarchical modeling
Bruno Nicenboim, Shravan Vasishth
Research on interference has provided evidence that the formation of dependencies between non-adjacent words relies on a cue-based retrieval mechanism. Two different models can acc…
Statistical methods for linguistic research: Foundational Ideas - Part II
Bruno Nicenboim, Shravan Vasishth
We provide an introductory review of Bayesian data analytical methods, with a focus on applications for linguistics, psychology, psycholinguistics, and cognitive science. The empir…
Statistical methods for linguistic research: Foundational Ideas - Part I
Shravan Vasishth, Bruno Nicenboim
We present the fundamental ideas underlying statistical hypothesis testing using the frequentist framework. We begin with a simple example that builds up the one-sample t-test from…