Applied Bayesian Data Analysis for Social Science
Dr Patrick English
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In this workshop you will learn the theory behind Bayesian inference, its critiques of frequentist statistics, and the application of Bayesian regression models in the R statistical language. We will begin the course by outlining frequentist logic and the Bayesian critique of its assumptions and applications and then move to introduce the concepts of Bayesian inference and estimating probability in a Bayesian framework. The practical work will then involve using the R statistical language to estimate, interpret, and visualise Bayesian regression models and their outputs. While the course will involve theoretical topics and have statistical components, it will be aimed at social scientists and the kinds of applications and interactions that they as researchers will have with Bayesian data analysis.
Intermediate (some prior knowledge)
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Quantitative Data Handling and Data Analysis, Quantitative Approaches (other), Applied Bayesian
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