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## 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
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