This document provides an introduction and overview of Stan, a programming language for Bayesian statistical modeling and inference. It discusses Stan's motivation as a faster alternative to BUGS that compiles models to C++. Key points covered include: - How Stan models are specified using blocks like data, transformed data, parameters, model, and generated quantities. - Stan's support for scalar,
![Introduction of stan](https://cdn-ak-scissors.b.st-hatena.com/image/square/d76643e3ebee1169ba9157c749f35a51ccc0d9a1/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Fintroductionofstan-130917101841-phpapp02-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)