Bayesian Analysis using Rstan

Lecturers	Dr. Benjamin Goodrich, Columbia University, NY
Certificate	Confirmation of participation
Target audience	Novice and advanced R users from all professional groups.
Costs	CHF 600.- for members of UZH/ETH and associated institutes CHF 800.- for alumni of UZH/ETH, members of other universities, the public sector and non-profit organizations CHF 1200.- for companies Persons without current employment can register for the UZH/ETH fee upon request.
Course language	English
Course description	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: Principles of Bayesian analysis and how it differs from other forms of analysis The syntax of the Stan language that is exposed via the rstan R package Estimating generalized linear (mixed) models using the Stan programs in the rstanarm R package Visualizing, analyzing, and comparing the results using the shinystan, bayesplot, and loo R packages The second day of the course will cover: Estimating Bayesian models using the Stan programs generated by the brms R package Writing your own Stan programs and validating that they are correct Including your own Stan programs in new R packages using the rstantools R package Prerequisites Basic familiarity with R syntax and some experience with regression analysis in R Installation of a C++ toolchain for your operating system, which is necessary to use the rstan R package. The other R packages are then simple to install from CRAN. Instructions are available from https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started Chapter 1 ( http://xcelab.net/rmpubs/rethinking/Statistical_Rethinking_sample.pdf ) of Statistical Rethinking by Richard McElreath, published by CRC Press in 2016. The highly recommended second edition of this textbook will be available for purchase from CRC Press shortly after the course.
Dates	March 19-20, 2020 [canceled]
	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.