[R-sig-genetics] Bayesian Data Analysis in R course - Online March 3-7

[i@io m@iii@g oii phys@ii@-courses@org]

Dear all, 
 
there are still 2 seats available for the Physalia online course on Bayesian Data Analysis in R, which will take place in March (3rd-7th).
 
Course website: [ https://www.physalia-courses.org/courses-workshops/course46 ]( https://www.physalia-courses.org/courses-workshops/course46/ )
 
This course offers a hands-on introduction to Bayesian data analysis in R, designed to build your confidence in using Bayesian methods for common applications. Through practical examples and exercises, the participants will:
 
          1. have become familiar with the basics of Bayesian inference,
 
          2. be able to fit a range of regression models with several likelihood functions,
 
          3. be able to fit several robust models and distributional models,
 
         4. know how to select priors for their models using prior predictive checks,
 
         5. know how to assess the descriptive accuracy of a model using posterior predictive checks, and
 
  

        6. know how to express their posterior distributions as effect sizes and informative figures.
 
 
Format: Daily live sessions (2–6 PM Berlin time) with theoretical lectures and interactive coding exercises.
 
 
For the full list of our courses and workshops, please visit: [ https://www.physalia-courses.org/courses-workshops/course46/ ]( https://www.physalia-courses.org/courses-workshops/course46/ )
 
Best regards,
Carlo
 
 
 
 
 
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Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info using physalia-courses.org

mobile: +49 17645230846
 
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