## Taught by: [Shravan Vasishth](http://www.ling.uni-potsdam.de/~vasishth) ## Location: Laboratoire Parole et Langage, 5 avenue Pasteur, 13100 Aix-en-Provence, France ## Schedule for each session + Morning session 1: 9am-10:30am + Coffee break + Morning session 2: 11am-12:30am + Lunch break + Afternoon session 1: 2pm - 3:pm + Coffee Break + Afternoon session 3:15 - 4:30pm # Tutorial 1: Introduction to foundations of frequentist statistics Part 1 (24 Oct 2017, Room A003) I will introduce the foundations of frequentist reasoning: the sampling distribution of the sample mean, Type I, II and Type M,S errors, and simple t-tests. ## Background reading: + The contents are available as slides (from the SMLP 2017 summer school at Potsdam): http://www.ling.uni-potsdam.de/~vasishth/smlp2017materials/01.zip + These slides are also available as lecture notes: https://github.com/vasishth/Statistics-lecture-notes-Potsdam/blob/master/IntroductoryStatistics/StatisticsNotesVasishth.pdf + Shravan Vasishth and Bruno Nicenboim. Statistical Methods for Linguistic Research: Foundational Ideas – Part I. Language and Linguistics Compass, 10(8):349-369, 2016. https://github.com/vasishth/VasishthNicenboimPart1 # Tutorial 2: Introduction to foundations of frequentist statistics Part 2 (26 Oct 2017, Room B011) Cancelled due to illness. # Tutorial 3: Intro to Linear Mixed Models, some advanced issues related to linear mixed models: model specification, and Bayesian LMMs (31 Oct 2017, Room A003) Here, I will go through some of the issues surrounding model selection and also talk about Bayesian hierarchical modeling using Stan. Please download data from: <a href="http://www.ling.uni-potsdam.de/~vasishth/courses/Aix2017.zip">here</a>. ## Background reading: - DJ Barr, R Levy, C Scheepers, HJ Tily. Random effects structure for confirmatory hypothesis testing: Keep it maximal, Journal of Memory and Language 68 (3), 255-278 - Hannes Matuschek, Reinhold Kliegl, Shravan Vasishth, R. Harald Baayen, and Douglas Bates. Balancing Type I Error and Power in Linear Mixed Models. Journal of Memory and Language, 94:305-315, 2017. - Douglas Bates, Reinhold Kliegl, Shravan Vasishth, Harald Baayen. Parsimonious Mixed Models. 2015. https://arxiv.org/abs/1506.04967 - Bruno Nicenboim and Shravan Vasishth. Statistical methods for linguistic research: Foundational Ideas - Part II. Language and Linguistics Compass, 10:591-613, 2016 https://github.com/vasishth/NicenboimVasishthPart2 - Tanner Sorensen, Sven Hohenstein, and Shravan Vasishth. Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists. Quantitative Methods for Psychology, 12(3):175-200, 2016. http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html - [Bruno Nicenboim]() and I taught a full one-day course on Bayesian modeling in Tuebingen recently. All materials, including lecture notes, are here: https://github.com/vasishth/FGME_Stan_2017