Introduction to Bayesian statistics applied to linguistics

Abstract

In this paper, we introduce the basics of Bayesian data analysis and demonstrate how to run a regression model in R using linguistic data. We provide commented code and employ user-friendly packages that optimize the implementation of full-fledged statistical models. Throughout the paper, we compare Bayesian and Frequentist statistics, highlighting the different advantages of a Bayesian approach, which dispenses with the notion of p-values and instead focuses on parameter estimation using posterior distributions of credible effect sizes given the data. We also show how to run a simple model and how to visualize effects of interest. Finally, we suggest additional readings to those interested in Bayesian analysis more generally

Full-text of the article is available for this locale: Português (Brasil).