The University of Birmingham is organising its first “Statistics for Linguists” Summer School. Over the course of five days (4-8 June 2018), participants will learn how to process and analyse data using the R programming language.
The summer school will be convened by Bodo Winter (University of Birmingham), Timo Roettger (Northwestern University) and Márton Sóskuthy (University of York). Additional optional sessions will be offered by our local staff of quantitative linguists, including Isobelle Clark, Matteo Fuoli, Jason Grafmiller, Jack Grieve, Michaela Mahlberg and Viola Wiegand.
We will provide a comprehensive overview of current statistical methods that are commonly used in linguistics and related fields. The ultimate goal is for participants to become competent users of these techniques and gain a better understanding of their own data.
The main sessions will cover such topics as: Introduction to the R programming language, data wrangling, reproducible research practices, data visualisation, linear models, Poisson and logistic regression, linear mixed effects models, Bayesian modeling, Generalised Additive Models. There will be additional optional sessions (electives), which will cover such topics as: Mapping and spatial analysis, Multidimensional Scaling and Principal Components Analysis, Classification and Regression Trees and Random Forests, Path Analysis and Structural Equation Models, Multiple Correspondence Analysis and Corpus statistics and co-occurrence comparisons.
For more information and registration, please visit: https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/events/2018/linguists-summer-school.aspx
Research Fellow, CLiC Dickens project,
School of English Drama and American & Canadian Studies,
Department of English Language and Applied Linguistics,
University of Birmingham,
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