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Bayesian Regression Models

Date: 12. November 2025
Time: 14:00 - 15:30
Speaker: Job Schepens (Project S, CRC 1252)

Overview

Introduction to Bayesian statistical modeling with a focus on regression. We will compare Bayesian and frequentist views, implement models in R, and interpret results.

Learning Objectives

  • Understand Bayesian vs. frequentist perspectives
  • Implement Bayesian regression in R (brms, rstanarm)
  • Specify priors and perform model checking
  • Interpret posterior distributions and credible intervals

Topics Covered

  • Bayesian statistical thinking
  • Regression modeling with brms/rstanarm
  • Priors, diagnostics, and model checking
  • Interpreting results and uncertainty

Materials

  • Slides (to be added)
  • Example R scripts (to be added)
  • See schedule entry in agenda/winter-2025-26-schedule.md for context.