Welcome to The Third Summer School on Statistical Methods for Linguistics and Psychology, 2019, 9-13 September
On Monday 9th September, 2019, 8:30AM-9:00AM Room S26, Haus 6 in Griebnitzsee campus.
You can download the floor plan of the Griebnitzsee campus building (Haus 6) and the schedule for the summer school from here.
The general schedule is here.
The detailed schedule by stream is here.
Summer School Location
The summer school will be held at the Griebnitzsee campus of the University of Potsdam; this is about 15-20 minutes away from Berlin zoo station by train. Lectures will be held in Haus 6. Campus map: download from here. Please use bvg.de for planning your travel (by train or bus).
The fee of 30 Euros will also be used to provide coffee & snacks.
- Julia Haaf, on modeling individual differences (Hoersaal 05) - Paul Buerkner, ordinal regression (Hoersaal 05) - Ralf Engbert, dynamical modeling (Hoersaal 02)
- Douglas Bates, title to be announced (Hoersaal 05) - Reinhold Kliegl, title to be announced (Hoersaal 05) - Titus von der Malsburg, multiple comparisons (Hoersaal 02)
Introductory frequentist statistics (maximum 30 participants)
Topics to be covered:
- Very basic R usage, basic probability theory, random variables (RVs), including jointly distributed RVs, probability distributions, including bivariate distributions - Maximum Likelihood Estimation - sampling distribution of mean - Null hypothesis significance testing, t-tests, confidence intervals - type I error, type II error, power, type M and type S errors - An introduction to (generalized) linear models - An introduction to linear mixed models
Introductory Bayesian statistics (maximum 30 participants)
Topics to be covered: course materials can be viewed here, under construction
- Basic probability theory, random variable (RV) theory, including jointly distributed RVs - probability distributions, including bivariate distributions - Using Bayes' rule for statistical inference - Introduction to Markov Chain Monte Carlo - Introduction to (generalized) linear models - Introduction to hierarchical models - Bayesian workflow
Advanced frequentist methods (maximum 30 participants)
Topics to be covered:
- Review of linear modeling theory - Introduction to linear mixed models - Model selection - Contrast coding and visualizing partial fixed effects - Shrinkage and partial pooling - Visualization - Calling Julia from R for very fast mixed modeling
Advanced Bayesian methods (maximum 30 participants)
Topics will be some selection of the following topics:
- Review of basic theory - Introduction to hierarchical modeling - Multinomial processing trees - Measurement error models - Modeling censored data - Meta-analysis - Finite mixture models - Model selection and hypothesis testing (Bayes factor and k-fold cross-validation)
Additional short course on Friday (two 90 minute lectures) by Ralf Engbert
An introduction to stochastic-dynamical models and to determinstic dynamical models. In the stochastic model lecture, the drift-diffusion model is presented and its link to Bayesian modeling made clear see. In the second lecture, continuous-time discrete-state Markov processes will be covered, and an application area will be presented: eye-movement control in reading, focusing on two prominent models, E-Z Reader and SWIFT.
Special conference rates:
Novum Hotel Aldea, Berlin: Sept. 8.-13.; single room: 109 Euro/night; double room: 124 Euro/night; booking/cancellation possible only until July 14. See form sent via email.
Some alternative possibilities: