Shravan Vasishth, Professor of Psycholinguistics and Neurolinguistics (Sentence Processing)
Shravan Vasishth, Professor of Psycholinguistics and Neurolinguistics (Sentence Processing)
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Cited by
Cited by
Parsimonious mixed models
D Bates, R Kliegl, S Vasishth, H Baayen
arXiv preprint arXiv:1506.04967, 2015
Balancing Type I error and power in linear mixed models
H Matuschek, R Kliegl, S Vasishth, H Baayen, D Bates
Journal of memory and language 94, 305-315, 2017
An activation-based model of sentence processing as skilled memory retrieval
RL Lewis, S Vasishth
Dictionary of World Philosophy, 375-419, 2013
Computational principles of working memory in sentence comprehension
RL Lewis, S Vasishth, JA Van Dyke
Trends in cognitive sciences 10 (10), 447-454, 2006
How to capitalize on a priori contrasts in linear (mixed) models: A tutorial
DJ Schad, S Vasishth, S Hohenstein, R Kliegl
Journal of memory and language 110, 104038, 2020
Argument-head distance and processing complexity: Explaining both locality and antilocality effects
S Vasishth, RL Lewis
Language, 767-794, 2006
Parsing costs as predictors of reading difficulty: An evaluation using the Potsdam Sentence Corpus
MF Boston, J Hale, R Kliegl, U Patil, S Vasishth
Journal of Eye Movement Research 2 (1), 2008
The cave of shadows: Addressing the human factor with generalized additive mixed models
H Baayen, S Vasishth, R Kliegl, D Bates
Journal of Memory and Language 94, 206-234, 2017
Parsimonious mixed models. arXiv
D Bates, R Kliegl, S Vasishth, H Baayen
arXiv preprint arXiv:1506.04967 10, 2015
Processing polarity: How the ungrammatical intrudes on the grammatical
S Vasishth, S Brüssow, RL Lewis, H Drenhaus
Cognitive Science 32 (4), 685-712, 2008
Similarity-based interference in sentence comprehension: Literature review and Bayesian meta-analysis
LA Jäger, F Engelmann, S Vasishth
Journal of Memory and Language 94, 316-339, 2017
Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists
T Sorensen, S Vasishth
arXiv preprint arXiv:1506.06201, 2015
The statistical significance filter leads to overoptimistic expectations of replicability
S Vasishth, D Mertzen, LA Jäger, A Gelman
Journal of Memory and Language 103, 151-175, 2018
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
Toward a principled Bayesian workflow in cognitive science.
DJ Schad, M Betancourt, S Vasishth
Psychological methods 26 (1), 103, 2021
Statistical methods for linguistic research: Foundational Ideas—Part II
B Nicenboim, S Vasishth
Language and Linguistics Compass 10 (11), 591-613, 2016
Short-term forgetting in sentence comprehension: Crosslinguistic evidence from verb-final structures
S Vasishth, K Suckow, RL Lewis, S Kern
Language and Cognitive Processes 25 (4), 533-567, 2010
Processing Chinese relative clauses: Evidence for the subject-relative advantage
S Vasishth, Z Chen, Q Li, G Guo
PloS one 8 (10), e77006, 2013
Parallel processing and sentence comprehension difficulty
MF Boston, JT Hale, S Vasishth, R Kliegl
Language and Cognitive Processes 26 (3), 301-349, 2011
What is the scanpath signature of syntactic reanalysis?
T Von der Malsburg, S Vasishth
Journal of Memory and Language 65 (2), 109-127, 2011
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