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Stars1
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LanguageCommon Lisp
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Created over 4 years ago
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Repository Details
Website to accomany book Sentence Comprehension as a Cognitive Process
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bayescogsci
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This is the course home page for Intro Bayes at SMLP 2021.TeX
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VasishthNicenboimPart1
This repository contains the code and data that accompany the paper: Statistical methods for linguistic research: Foundational Ideas - Part I, by Shravan Vasishth and Bruno Nicenboim. Language and Linguistics Compass 10/8 (2016): 349β369, doi: 10.1111/lnc3.12201.R
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NicenboimVasishthPart2
Code and data to accompany the article Statistical methods for linguistic research: Foundational Ideas - Part II, by Bruno Nicenboim and Shravan Vasishth. Language and Linguistics Compass, 2016. doi: 10.1111/lnc3.12207R
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ESSLLI2015Vasishth_Week1
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Lecture notes for the foundations of mathematics course taught in winter semester as part of the MSc in Cognitive Systems.TeX
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Repository for all lecture notes, code, and data relating to the Stan workshop at FGME 2017 in Tuebingen, Germany.TeX
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MetaAnalysisJaegerEngelmannVasishth2017
Code and data to accompany paper by L.A. JΓ€ger, Engelmann, & Vasishth, 2017. Similarity-based interference in sentence comprehension: Literature review and Bayesian meta-analysis. Journal of Memory and Language. doi:10.1016/j.jml.2017.01.004R
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This repository contains the code and slides for the Statistics Methods course taught in Week 2 at ESSLLI 2015, Barcelona.
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smlp2021
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Intro_Bayes_CogSci
An Introduction to Bayesian Data Analysis for Cognitive Science, Vasishth, Nicenboim, Schad, to appear, CRC PressHTML
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smlp2024
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SMLP2018
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Materials for MPI Leipzig workshop: https://www.cbs.mpg.de/events/23219/1413783TeX
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Code and data to accompany the paper: Shravan Vasishth and Andrew Gelman. How to embrace variation and accept uncertainty in linguistic and psycholinguistic data analysis. Linguistics, 59:1311--1342, 2021. doi: https://doi.org/10.1515/ling-2019-0051
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Data and code for the paper Shravan Vasishth, Zhong Chen, Qiang Li, and Gueilan Guo. Processing Chinese Relative Clauses: Evidence for the Subject-Relative Advantage. PLoS ONE, 8(10):1-14, 10 2013.
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