|Institution(en)||University of British Columbia|
|Veranstaltungsbeginn||19.05.2022, 15.30 Uhr|
|Veranstaltungsende||19.05.2022, 17.30 Uhr|
|Ort||Online, see below|
|Zoom-Link; password required (see below)|
This workshop focuses on Generalised Additive Modelling, a regression modelling technique for the flexible analysis of non-linear patterns. GAMs are becoming standard in the analysis of a wide range of different types of linguistic data that show temporal or spatial dependencies: formant contours, eye-tracking data, EEG measurements, midsagittal tongue surface data, map data, etc. We will take an approach that balances GAM theory with practical coding exercises. The goal of the workshop is to allow you to set up, run and interpret your own GAM models as well as critically evaluate those of others.
May 19 (Thurs), 3.30-5.30pm
GAMs for data with multiple trajectories: autocorrelation, AR error models and generalised additive mixed models.
Zoom-Password: please write to Marzena Zygis; firstname.lastname@example.org