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,
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