|Lecturers||Dr. Benjamin Goodrich, Columbia University, NY|
|Certificate||Confirmation of participation|
Novice and advanced R users from all professional groups.
This two-day course will introduce participants to Bayesian analysis using R interfaces to the Stan language and algorithms. No previous experience with Stan is necessary, because the Stan language is similar to R. By the end of the course, participants will be able to write simple models themselves in the Stan language and draw from the posterior distribution of the parameters, as well as accessing the posterior draws generated by other R packages that come with more complicated Stan programs.
More specifically, the first day of the course will cover:
The second day of the course will cover:
|Dates||March 19-20, 2020
|After registering you will receive a short automatic confirmation by email. If you received this email you are successfully and bindingly registered for the course. For administrative reasons the written invoice won't be sent out until about two weeks before the course.|