Bayesian Data Analysis in R – Online Course (3-7 March 2025)

Dear all,
We?re excited to inform you that registrations are now open for our Bayesian Data Analysis in R course, running online from 3rd to 7th March 2025. This course offers both beginners and those with some prior knowledge of Bayesian methods a chance to gain practical, hands-on experience with Bayesian regression models.
 
Course website: [ https://www.physalia-courses.org/courses-workshops/course46/ ]( https://www.physalia-courses.org/courses-workshops/course46/ )
 
This course will provide a solid foundation in Bayesian data analysis using practical examples and hands-on exercises. You?ll learn how to apply Bayesian methods to regression models, assess model fit, and interpret the results, while gaining confidence in using Bayesian inference for real-world applications.
 
By the end of the course, participants will:
Understand the basics of Bayesian inference.
Fit various regression models and assess model fit.
Select priors using predictive checks and validate models.
Communicate results effectively with visualizations.
Course Outline
Monday: Introduction, basics of Bayesian analysis, generative-process models
 Tuesday: MCMC methods, Bayesian parameter inference
 Wednesday: Model checking (prior & posterior checks), generalized linear models
 Thursday: Model comparison (Bayes Factors), multi-level modeling
 Friday: Best practices, final discussions and Q&A
Prerequisites
Basic knowledge of R (tidyverse package will be used).
Previous experience in Bayesian analysis is helpful but not required.
Why Join?
This course will equip you with practical skills for applying Bayesian analysis to your own data. Whether you're just starting out or looking to deepen your knowledge, this course provides the confidence to tackle Bayesian data analysis.
 
Best regards,
Carlo
 
 

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Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info at physalia-courses.org

mobile: +49 17645230846