Shravan Vasishth (vasishth)

vasishth

Geek Repo

Company:Universität Potsdam

Location:Potsdam, Germany

Home Page:http://www.ling.uni-potsdam.de/~vasishth

Twitter:@ShravanVasishth

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RePsychLing

Shravan Vasishth's repositories

IntroductionBayes

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

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Statistics-lecture-notes-Potsdam

Lecture notes from a statistics course I teach at Potsdam

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StatisticsNotes

Everything I learnt in graduate school in statistics.

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IntroductionBDA

An Introductiion to Bayesian Data Analysis

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jopbayes

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

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Intro_Bayes_CogSci

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

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BayesianLinearModeling

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

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MPILeipzig2019

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

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ReproducibleWorkflows

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

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SMLP2018

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

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agrmtreflexives

Large-sample Multilab replication attempt of Dillon et al 2013

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manuscript_LogacevVasishth_CogSci_SMCM

Code + Data for the Logacev & Vasishth paper on underspecification and parallel processing. Proposes the SMCM as a task-dependent model of ambiguity resolution.

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MichiganLinguistics2020talk

slides and materials for Michigan talk on Feb 6, 2020

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smlp2019

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

StatSigFilter

The Statistical Significance Filter

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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.

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Goettingen_brms_intro

Introduction to using brms for linear mixed models

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Hamburg2019

The role of replicability in Bayesian data analysis

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knitr_case_studies

Inference case studies in knitr

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MaetzigEtAl2018

Code and data to accompany Paul Mätzig, Shravan Vasishth, Felix Engelmann, David Caplan, and Frank Burchert. A computational investigation of sources of variability in sentence comprehension difficulty in aphasia. Topics in Cognitive Science, 10(1):161-174, 2018.

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MixtureChinese

Mixture Models of Chinese Relative Clause Processing

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ProcessingPolarity

Code and data for the paper: Shravan Vasishth, Sven Bruessow, Richard L. Lewis, and Heiner Drenhaus. Processing Polarity: How the ungrammatical intrudes on the grammatical. Cognitive Science, 32(4):685-712, 2008.

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SafaviEtAl2016

Data and code for Molood Sadat Safavi, Samar Husain, and Shravan Vasishth. Dependency resolution difficulty increases with distance in Persian separable complex predicates: Implications for expectation and memory-based accounts. Frontiers in Psychology, 7, 2016.

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VasishthSuckowLewisKern2011

Data and code for Shravan Vasishth, Katja Suckow, Richard L. Lewis, and Sabine Kern. Short-term forgetting in sentence comprehension: Crosslinguistic evidence from head-final structures. Language and Cognitive Processes, 25:533-567, 2011.

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webpage

Home page of Shravan Vasishth

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