The course will take place in Big Blue Button. The link will be sent to registered participants via e-mail.

Monday, 4 May

10.00-10.15 Introductions
10.15-11.00 Statistics: Strategies for dealing with collinearity in regression modeling (Baayen)
11:00-11.15 Break
11.15-12.00 Statistics: Worked examples of dealing with collinear predictors (Baayen)
12.00-13.00 Lunch
13.00-13.45 Statistics: A conceptual introduction to the generalized additive model (GAM) (Baayen)
13.45-14.00 Break
14.00-14.45 Statistics: Using GAMs to analyse auditory lexical decision reaction times (Chuang)


Tuesday, 5 May 

Extra session: 10:00-10:15 Q&A on Monday's topics 

10:15-11.00 Statistics: Advanced features of the generalized additive model
(autocorrelation, Gaussian location-scale models, scaled t-distribution, ordinal regression, concurvity) (Baayen)
11.00-11.15 Break
11.15-12.00 Statistics: Using GAMs to analyse tone contours in Mandarin Chinese (Chuang)
12.00-13.00 Lunch
13.00-13.45 Statistics: Using GAMs to analyse geographical variation in deretroflexion in Taiwan Mandarin (Chuang)
13.45-14.00 Break
14.00-14.45 Statistics:  Quantile Regression with GAMs: a tool for tracing whether predictors work out differently across the distribution of a response variable. (Baayen)
14:45-16.00 Break
16.00-17.00 TÜling: A blueprint for discriminative learning of simple utterances (Baayen)


Wednesday, 6 May

10.00-11.30 Data discussion session for PhD-students and their advisors
11.30-12.00 Break
12.00-13.00 Data discussion session for PhD-students and their advisors


Thursday, 7 May

10.00-11.00 Modeling: An introduction to discrimination learning with the ndl and WpmWithLdl packages (Baayen)
11.00-11.15 Break
11.15.-12.00 Modeling: Using WpmWithLdl to investigate the semantics of auditory nonwords (Chuang)
12.00-13.00 Lunch

Modeling: Using WpmWithLdl to inflect Estonian nouns without using morphemes and inflection classes (Chuang)