vasishth Goto Github PK

abc_methodsx_jml_vasishth2019

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.

agrmtreflexives

Large-sample Multilab replication attempt of Dillon et al 2013

arlvasishth

Supplementary material to accompany the paper: Some right ways to analyze (psycho)linguistic data

bayescogsci

Draft of book entitled An Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth

bayesianlinearmodeling

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

bayeslmmtutorial

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

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

emlar2021bayestutorial

emlar2022bayestutorial

Materials for the EMLAR Bayes 1 and 2 tutorials

esslli2015vasishth_week1

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

esslli2015vasishth_week2

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

expling

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

fgme_stan_2017

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

foundationsofmathematics

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

freq_cogsci

Linear mixed models in Linguistics and Psychology: A Comprehensive Introduction

frequentiststatscogsci

goettingen_brms_intro

Introduction to using brms for linear mixed models

guitar-notes

Notes on music theory etc.

hamburg2019

The role of replicability in Bayesian data analysis

hubermanbreathing

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

husainetaljemr2015

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.

images

For posting images

infrequentlyusedcommands

Here are some commands etc. that I sometimes need to do, but never can remember.

intro_bayes_cogsci

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

introbayessmlp2021

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

introbdaathpi

Code and other materials for the Introduction to Bayesian Data Analysis taught on the Open HPI platform.

introductionbayes

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

introductionbda

An Introductiion to Bayesian Data Analysis

introductionstatistics

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

introlmms_iitkanpur