Year |
Citation |
Score |
2024 |
Schad DJ, Nicenboim B, Vasishth S. Data aggregation can lead to biased inferences in Bayesian linear mixed models and Bayesian analysis of variance. Psychological Methods. PMID 38271007 DOI: 10.1037/met0000621 |
0.61 |
|
2023 |
Stone K, Nicenboim B, Vasishth S, Rösler F. Understanding the Effects of Constraint and Predictability in ERP. Neurobiology of Language (Cambridge, Mass.). 4: 221-256. PMID 37229506 DOI: 10.1162/nol_a_00094 |
0.632 |
|
2022 |
Albert A, Nicenboim B. Modeling Sonority in Terms of Pitch Intelligibility With the Nucleus Attraction Principle. Cognitive Science. 46: e13161. PMID 35796619 DOI: 10.1111/cogs.13161 |
0.305 |
|
2022 |
Patterson C, Schumacher PB, Nicenboim B, Hagen J, Kehler A. A Bayesian Approach to German Personal and Demonstrative Pronouns. Frontiers in Psychology. 12: 672927. PMID 35308073 DOI: 10.3389/fpsyg.2021.672927 |
0.307 |
|
2022 |
Schad DJ, Nicenboim B, Bürkner PC, Betancourt M, Vasishth S. Workflow techniques for the robust use of bayes factors. Psychological Methods. PMID 35266787 DOI: 10.1037/met0000472 |
0.567 |
|
2021 |
Vasishth S, Nicenboim B, Engelmann F, Burchert F. Computational Models of Retrieval Processes in Sentence Processing: (Trends in Cognitive Sciences 23, 968-982; 2019). Trends in Cognitive Sciences. PMID 34315675 DOI: 10.1016/j.tics.2021.07.002 |
0.585 |
|
2021 |
Lissón P, Pregla D, Nicenboim B, Paape D, van Het Nederend ML, Burchert F, Stadie N, Caplan D, Vasishth S. A Computational Evaluation of Two Models of Retrieval Processes in Sentence Processing in Aphasia. Cognitive Science. 45: e12956. PMID 33877698 DOI: 10.1111/cogs.12956 |
0.656 |
|
2020 |
Nicenboim B, Vasishth S, Rösler F. 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. PMID 32251629 DOI: 10.1016/J.Neuropsychologia.2020.107427 |
0.663 |
|
2019 |
Vasishth S, Nicenboim B, Engelmann F, Burchert F. Computational Models of Retrieval Processes in Sentence Processing. Trends in Cognitive Sciences. PMID 31668586 DOI: 10.1016/J.Tics.2019.09.003 |
0.715 |
|
2018 |
Vasishth S, Nicenboim B, Beckman ME, Li F, Kong EJ. Bayesian data analysis in the phonetic sciences: A tutorial introduction. Journal of Phonetics. 71: 147-161. PMID 30197458 DOI: 10.1016/J.Wocn.2018.07.008 |
0.65 |
|
2018 |
Nicenboim B, Vasishth S, Engelmann F, Suckow K. Exploratory and Confirmatory Analyses in Sentence Processing: A Case Study of Number Interference in German. Cognitive Science. PMID 29411408 DOI: 10.1111/Cogs.12589 |
0.651 |
|
2018 |
Nicenboim B, Roettger TB, Vasishth S. Using meta-analysis for evidence synthesis: The case of incomplete neutralization in German Journal of Phonetics. 70: 39-55. DOI: 10.1016/J.Wocn.2018.06.001 |
0.641 |
|
2018 |
Nicenboim B, Vasishth S. Models of retrieval in sentence comprehension: A computational evaluation using Bayesian hierarchical modeling Journal of Memory and Language. 99: 1-34. DOI: 10.1016/J.Jml.2017.08.004 |
0.701 |
|
2017 |
Paape D, Nicenboim B, Vasishth S. Does antecedent complexity affect ellipsis processing? An empirical
investigation Glossa: a Journal of General Linguistics. 2: 77. DOI: 10.5334/Gjgl.290 |
0.629 |
|
2016 |
Nicenboim B, Logačev P, Gattei C, Vasishth S. When High-Capacity Readers Slow Down and Low-Capacity Readers Speed Up: Working Memory and Locality Effects. Frontiers in Psychology. 7: 280. PMID 27014113 DOI: 10.3389/Fpsyg.2016.00280 |
0.557 |
|
2016 |
Nicenboim B, Vasishth S. Statistical methods for linguistic research: Foundational Ideas-Part II Language and Linguistics Compass. 10: 591-613. DOI: 10.1111/Lnc3.12207 |
0.602 |
|
2016 |
Vasishth S, Nicenboim B. Statistical Methods for Linguistic Research: Foundational Ideas - Part I Language and Linguistics Compass. 10: 349-369. DOI: 10.1111/Lnc3.12201 |
0.646 |
|
2015 |
Nicenboim B, Vasishth S, Gattei C, Sigman M, Kliegl R. Working memory differences in long-distance dependency resolution. Frontiers in Psychology. 6: 312. PMID 25852623 DOI: 10.3389/Fpsyg.2015.00312 |
0.736 |
|
Show low-probability matches. |