Bruno Nicenboim
Affiliations: | 2010-2018 | Linguistics | Potsdam, Potsdam, Brandenburg, Germany |
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| Schad DJ, Nicenboim B, Vasishth S. (2024) Data aggregation can lead to biased inferences in Bayesian linear mixed models and Bayesian analysis of variance. Psychological Methods |
| Stone K, Nicenboim B, Vasishth S, et al. (2023) Understanding the Effects of Constraint and Predictability in ERP. Neurobiology of Language (Cambridge, Mass.). 4: 221-256 |
| Albert A, Nicenboim B. (2022) Modeling Sonority in Terms of Pitch Intelligibility With the Nucleus Attraction Principle. Cognitive Science. 46: e13161 |
| Patterson C, Schumacher PB, Nicenboim B, et al. (2022) A Bayesian Approach to German Personal and Demonstrative Pronouns. Frontiers in Psychology. 12: 672927 |
| Schad DJ, Nicenboim B, Bürkner PC, et al. (2022) Workflow techniques for the robust use of bayes factors. Psychological Methods |
| Vasishth S, Nicenboim B, Engelmann F, et al. (2021) Computational Models of Retrieval Processes in Sentence Processing: (Trends in Cognitive Sciences 23, 968-982; 2019). Trends in Cognitive Sciences |
| Lissón P, Pregla D, Nicenboim B, et al. (2021) A Computational Evaluation of Two Models of Retrieval Processes in Sentence Processing in Aphasia. Cognitive Science. 45: e12956 |
| Nicenboim B, Vasishth S, Rösler F. (2020) Are words pre-activated probabilistically during sentence comprehension? Evidence from new data and a bayesian random-effects meta-analysis using publicly available data. Neuropsychologia. 107427 |
| Vasishth S, Nicenboim B, Engelmann F, et al. (2019) Computational Models of Retrieval Processes in Sentence Processing. Trends in Cognitive Sciences |
| Vasishth S, Nicenboim B, Beckman ME, et al. (2018) Bayesian data analysis in the phonetic sciences: A tutorial introduction. Journal of Phonetics. 71: 147-161 |