News:Course: Bayesian data analysis using brms and RStan in March 2019, Berlin, Germany
0
0
Entering edit mode
5.5 years ago
carlopecoraro2 ★ 2.5k

Course: **An introduction to computational Bayesian methods using Stan**


When: 25-29 March 2019


Where: Berlin


Instructor: Prof. Dr. Shravan Vasishth (University of Potsdam, Germany )


Overview

In recent years, Bayesian methods have come to be widely adopted in all areas of science. This is in large part due to the development of sophisticated software for probabilisic programming; a recent example is the astonishing computing capability afforded by the language Stan (mc-stan.org). However, the underlying theory needed to use this software sensibly is often inaccessible because end-users don't necessarily have the statistical and mathematical background to read the primary textbooks (such as Gelman et al's classic Bayesian data analysis, 3rd edition). In this course, we seek to cover this gap, by providing a relatively accessible and technically non-demanding introduction to the basic workflow for fitting different kinds of linear models using Stan. To illustrate the capability of Bayesian modeling, we will use the R package RStan and a powerful front-end R package for Stan called brms.


For any questions, please feel free to contact us: info@physalia-courses.org

Statistics STAN BAYESIAN • 1.3k views
ADD COMMENT

Login before adding your answer.

Traffic: 1335 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6