LING105

Advanced methods in quantitative linguistics. Topics may include data exploration and visualization, classification trees, random forests, regression modeling, bootstrap methods, and Bayesian data analysis. Emphasis on building predictive models of linguistic data, with a focus on simulation, model comparison, and performance evaluation. Students complete statistical programming assignments and projects using real-world data.