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Regular version of the site
Master 2025/2026

Bayesian Data Analysis

Type: Elective course (Data Analytics and Social Statistics)
When: 2 year, 3 module
Open to: students of one campus
Language: English

Course Syllabus

Abstract

This course introduces the basic theoretical and applied principles of Bayesian statistical analysis in a manner geared toward students in the social sciences. The Bayesian paradigm is particularly useful for the type of data that social scientists encounter given its recognition of the mobility of population parameters, its ability to incorporate information from prior research, and its ability to update estimates as new data are observed.