Shravan Vasishth

bayescogsci. Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth

BayesLMMTutorial. Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html

MScStatisticsNotes. These are cheat sheets and notes I made as part of an MSc in Statistics, at the University of Sheffield, UK.

IntroductionBayes. An introduction to Bayesian Data Analysis: A one-week course

Freq_CogSci. Linear mixed models in Linguistics and Psychology: A Comprehensive Introduction https://vasishth.github.io/Freq_CogSci/

Statistics-lecture-notes-Potsdam. Lecture notes from a statistics course I teach at Potsdam

lingpsych. Datasets and models included in the book "Linear Mixed Models for Linguistics and Psychology: A Comprehensive Introduction".

LM. R

IntroductionStatistics. An introduction to statistics from scratch. Prerequisites: Basic knowledge of R.

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): 349–369, doi: 10.1111/lnc3.12201.

IntroBayesSMLP2021. This is the course home page for Intro Bayes at SMLP 2021.

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/lnc3.12207

MetaAnalysisJaegerEngelmannVasishth2017. Code and data to accompany paper by L.A. Jäger, 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.2017.01.004

FGME_Stan_2017. Repository for all lecture notes, code, and data relating to the Stan workshop at FGME 2017 in Tuebingen, Germany.

IntroductionBDA. An Introductiion to Bayesian Data Analysis

ESSLLI2015Vasishth_Week1. Material for ESSLLI 2015 (Week 1) course entitled Statistical methods for linguistic research: Foundational Ideas

StatisticsNotes. Everything I learnt in graduate school in statistics.

FoundationsOfMathematics. Lecture notes for the foundations of mathematics course taught in winter semester as part of the MSc in Cognitive Systems.

jopbayes. Code and data for the Journal of Phonetics article entitled Bayesian data analysis in the phonetic sciences: A tutorial introduction

StanJAGSexamples. Example code using Stan and JAGS for psycholinguistic data

smlp2021. The Fifth Summer School in Statistical Methods for Linguistics and Psychology

ESSLLI2015Vasishth_Week2. This repository contains the code and slides for the Statistics Methods course taught in Week 2 at ESSLLI 2015, Barcelona.

SMLP2017. Summer School: Statistical Methods for Linguistics and Psychology, 2017, University of Potsdam, Germany

EMLAR2022BayesTutorial. Materials for the EMLAR Bayes 1 and 2 tutorials

VasishthLab. Psycholinguistic Data and Example Analyses from Vasishth Lab (Potsdam)

Intro_Bayes_CogSci. An Introduction to Bayesian Data Analysis for Cognitive Science, Vasishth, Nicenboim, Schad, to appear, CRC Press

RetrievalModels. Website to accompany the book Sentence Comprehension as a Cognitive Process

HubermanBreathing. Reanalysis of a paper in Cell Reports in Medicine from the Huberman lab in Stanford on breathing.

SMLP2018. Statistical Methods for Linguistics and Psychology, University of Potsdam, Germany, 10-14 September 2018

SubsettingProblem. This repo contains the code relating to two blog posts at https://vasishth-statistics.blogspot.com/

smlp2024. The eight summer school on statistical methods for linguistics and psychology

powerpose. Reanalysis of Carney, Cuddy, and Yap 2010 data on power posing.

MPILeipzig2019. Materials for the MPI Leipzig workshop and hands-on session on open science

ReproducibleWorkflows. Materials for MPI Leipzig workshop: https://www.cbs.mpg.de/events/23219/1413783

BayesianLinearModeling. Lecture notes for the Bayesian linear modeling course taught in winter semester at the University of Potsdam

smlp2022. The website for SMLP 2022, 12-16 Sept 2022.

embraceuncertainty. 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

vasishth. Config files for my GitHub profile.

IntroBayesSMLP2024. HTML

smlp2025. Website for the Ninth Summer School on Statistical Methods for Linguistics and Psychology, 25-29 August 2025.

LecturesIntroBayes. Please go to the website for these online lectures:

SchoknechtVasishthInterference. SPR and EEG studies on interference

sentproc-workshop2025. HTML

musictheory. Notes on music theory (specifically for classical guitar)

ExpLing. Reproducible code and data for the chapter New Directions in Statistical Analysis for Experimental Linguistics

MichiganLinguistics2020talk. slides and materials for Michigan talk on Feb 6, 2020

rstyleguidepotsdam. Style guide for R coding, University of Potsdam

VNEBTiCS2019. code for the draft of the paper by Vasishth et al: Computational models of retrieval processes in sentence processing

smlp2019. Statistical Methods for Linguistics and Psychology, University of Potsdam, Germany