Estimating Ground-Motion Models via Bayesian Inference using Stan

Abstract

We provide a simple introduction to the estimation of ground-motion models via Bayesian inference and the probabilistic programming language Stan. We show one ca implement a simple ground-motion model in Stan, and how can run the program from the computer environment R. We also show how one can access the results, and plot summaries of estimated parameters. A large number of different Stan models for the development https://github.com/pstafford/StanGMMTutorial.