Bruno Nicenboim
Cited by
Cited by
Statistical methods for linguistic research: Foundational Ideas - Part II
B Nicenboim, S Vasishth
Language and Linguistics Compass 10 (11), 591--613, 2016
Bayesian data analysis in the phonetic sciences: A tutorial introduction
S Vasishth, B Nicenboim, ME Beckman, F Li, EJ Kong
Journal of phonetics 71, 147-161, 2018
Exploratory and confirmatory analyses in sentence processing: A case study of number interference in German
B Nicenboim, S Vasishth, F Engelmann, K Suckow
Cognitive science 42, 1075-1100, 2018
Models of retrieval in sentence comprehension: A computational evaluation using Bayesian hierarchical modeling
B Nicenboim, S Vasishth
Journal of Memory and Language 99, 1-34, 2018
Working memory differences in long-distance dependency resolution
B Nicenboim, S Vasishth, C Gattei, M Sigman, R Kliegl
Frontiers in Psychology 6, 312, 2015
Are words pre-activated probabilistically during sentence comprehension? Evidence from new data and a Bayesian random-effects meta-analysis using publicly available data
B Nicenboim, S Vasishth, F Rösler
Neuropsychologia 142, 107427, 2020
Statistical Methods for Linguistic Research: Foundational Ideas – Part I
S Vasishth, B Nicenboim
Language and Linguistics Compass 10 (8), 349–369, 2016
Computational models of retrieval processes in sentence processing
S Vasishth, B Nicenboim, F Engelmann, F Burchert
Trends in cognitive sciences 23 (11), 968-982, 2019
Using meta-analysis for evidence synthesis: The case of incomplete neutralization in German
B Nicenboim, TB Roettger, S Vasishth
Journal of Phonetics 70, 39-55, 2018
When high-capacity readers slow down and low-capacity readers speed up: Working memory and locality effects
B Nicenboim, P Logačev, C Gattei, S Vasishth
Frontiers in psychology 7, 280, 2016
Workflow techniques for the robust use of bayes factors.
DJ Schad, B Nicenboim, PC Bürkner, M Betancourt, S Vasishth
Psychological Methods, 2022
An introduction to Bayesian data analysis for cognitive science
B Nicenboim, DJ Schad, S Vasishth
Under contract with Chapman and Hall/CRC Statistics in the Social and …, 2021
A computational evaluation of two models of retrieval processes in sentence processing in aphasia
P Lissón, D Pregla, B Nicenboim, D Paape, ML Van het Nederend, ...
Cognitive Science 45 (4), e12956, 2021
Feature overwriting as a finite mixture process: Evidence from comprehension data
S Vasishth, LA Jäger, B Nicenboim
arXiv preprint arXiv:1703.04081, 2017
Statistical methods for linguistic research: Foundational ideas–Part I. Language and Linguistics Compass, 10 (8), 349-369
S Vasishth, B Nicenboim
Statistical methods for linguistic research: Foundational ideas—Part II. Language and Linguistics Compass, 10, 591–613
B Nicenboim, S Vasishth
Sample size determination for Bayesian hierarchical models commonly used in psycholinguistics
S Vasishth, H Yadav, DJ Schad, B Nicenboim
Computational Brain & Behavior 6 (1), 102-126, 2023
Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses
S Vasishth, N Chopin, R Ryder, B Nicenboim
arXiv preprint arXiv:1702.00564, 2017
Does antecedent complexity affect ellipsis processing?: An empirical investigation
DLJF Paape, B Nicenboim, S Vasishth
A crack in the crystal ball: Evidence against pre-activation of gender features in sentence comprehension
E Guerra, B Nicenboim, AV Helo
Architectures and mechanisms for language processing (AMLaP), 2018
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