Shravan Vasishth's Projects
This is the source code and data for a methods paper accompanying the paper by Jäger, Mertzen, Van Dyke and Vasishth, 2019. See OSF repo.
Large-sample Multilab replication attempt of Dillon et al 2013
Supplementary material to accompany the paper: Some right ways to analyze (psycho)linguistic data
Draft of book entitled An Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth
Lecture notes for the Bayesian linear modeling course taught in winter semester at the University of Potsdam
Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html
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
Materials for the EMLAR Bayes 1 and 2 tutorials
Material for ESSLLI 2015 (Week 1) course entitled Statistical methods for linguistic research: Foundational Ideas
This repository contains the code and slides for the Statistics Methods course taught in Week 2 at ESSLLI 2015, Barcelona.
Reproducible code and data for the chapter New Directions in Statistical Analysis for Experimental Linguistics
Repository for all lecture notes, code, and data relating to the Stan workshop at FGME 2017 in Tuebingen, Germany.
Lecture notes for the foundations of mathematics course taught in winter semester as part of the MSc in Cognitive Systems.
Linear mixed models in Linguistics and Psychology: A Comprehensive Introduction
Introduction to using brms for linear mixed models
Notes on music theory etc.
The role of replicability in Bayesian data analysis
Reanalysis of a paper in Cell Reports in Medicine from the Huberman lab in Stanford on breathing.
Data and code relating to Husain, Narayanan, Vasishth, 2015. Integration and prediction difficulty in Hindi sentence comprehension: Evidence from an eye-tracking corpus. Journal of Eye Movement Research, 8(2):1-12, 2015.
For posting images
Here are some commands etc. that I sometimes need to do, but never can remember.
An Introduction to Bayesian Data Analysis for Cognitive Science, Vasishth, Nicenboim, Schad, to appear, CRC Press
This is the course home page for Intro Bayes at SMLP 2021.
Code and other materials for the Introduction to Bayesian Data Analysis taught on the Open HPI platform.
An introduction to Bayesian Data Analysis: A one-week course
An Introductiion to Bayesian Data Analysis
An introduction to statistics from scratch. Prerequisites: Basic knowledge of R.