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Course: Bayesian data analysis using brms and RStan

carlo pecoraro, January 4, 2019
 

Dear all,

application is now open for our course "An introduction to computational Bayesian methods using Stan" :

https://www.physalia-courses.org/courses-workshops/course46/

Where: Berlin

When: 25-29 March 2019

Instructor: Dr. Shravan Vasishth (Professor at the University of Potsdam, Germany)

After completing this course, the participant will have become familiar with the foundations of Bayesian inference using Stan (RStan and brms), and will be able to fit a range of multiple regression models and hierarchical models, for normally distributed data, and for log-normal, poisson, multinomial, and binomially distributed data. They will know how to calibrate their models using prior and posterior predictive checks; they will be able to establish true and false discovery rates to validate discovery claims, and to carry out model comparison using cross-validation methods, and Bayes factors

Website: https://www.physalia-courses.org/courses-workshops/course46/

Should you have any questions, please feel free to contact us at : info@physalia-courses.org

Best regards, Physalia-courses team

info@physalia-courses.org www.physalia-courses.org