Bodo Winter.

Speaker: Bodo Winter is a Senior Lecturer at the Department of Linguistics at the University of Birmingham, a UKRI Future Leaders Fellow, a Fellow of the Institute for Interdisciplinary Data Science and AI, and Editor-in-Chief at the journal Language and Cognition.

Dr Winter has received his PhD in Cognitive and Information Sciences from the University of California, Merced. His research focuses on multimodality, sound symbolism, gesture, and metaphor.

Title: Bayesian GLMMs with brms

Abstract: Linguistics is undergoing a rapid shift away from significance tests towards approaches emphasizing parameter estimation, such as linear mixed effects models. Alongside this shift, another revolution is underway: away from using p-values as part of a “null ritual” (Gigerenzer, 2004) towards Bayesian models. Both shifts can nicely be dealt with the ‘brms’ package (Bürkner, 2017). After briefly reviewing why we shouldn’t blindly follow the “null ritual” of significance testing, I will demonstrate how easy it is to fit quite complex models using this package. I will also talk about how mixed models are used in different subfields of linguistics (Winter & Grice, 2021), and why established practices such as dropping random slopes for non-converging models are a further reason to go Bayesian. Finally, I will briefly touch on issues relating to prior specification, especially the importance of weakly informative priors to prevent overfitting.

About The Language Technology and Data Analysis Laboratory (LADAL) Webinars

The Language Technology and Data Analysis Laboratory (LADAL) is school-based support infrastructure for computational humanities research established and maintained by the UQ School of Languages and Cultures. The LADAL is part of the ARDC Australian Text Analytics Platform (ATAP) which represents a nation-wide attempt to foster computational skills in HASS. It collaborates with and shares expertise with several Australian and international centres, institutions, researchers, and experts.

The LADAL consists of a specialist computing lab for language-based computational and experimental work (the Computational and Experimental Workshop) and an online virtual lab (the LADAL website). The LADAL website offers self-guided study materials and hands-on tutorials on topics relating to digital tools, computational methods for data extraction and processing, data visualization, statistical analyses of language data, and provides links to further resources and short descriptions of digital tools relevant for digital HASS research. In addition, the LADAL offers face-to-face consultations and specialized workshops. SLC researchers are encouraged to contact LADAL staff for advice and guidance on matters relating to digital research tools, data visualization, various statistical procedures, and text analytics.  As such, the LADAL offers pathways to new research possibilities in HASS with a focus on computational quantitative text analytics.

 

Venue

Zoom ID Link: https://uqz.zoom.us/j/86849442143
Room: 
Online

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