Articles in Stan | Generable

Discover the latest articles published by the Generable team.

March 22, 2022

Fitting a Basic SIR Model in Stan

Exploring the SIR infectious disease model with Stan and R—learn how to simulate outbreaks, infer parameters, and make out-of-sample predictions using Bayesian methods...

Eric Novik

CEO, Co-Founder

August 27, 2020

Prototype: Simplified CLI to Stan

A new CmdStan prototype simplifies the CLI experience with easier syntax, flexible option ordering, and improved usability...

Daniel Lee

Co-Founder Emeritus

July 20, 2018

Optimizing, Sampling, and Choosing Priors

Choosing sensible priors isn’t about biasing your model—it’s about using what you already know to avoid unrealistic results and speed up sampling. Good priors lead to more reliable Bayesian inference, especially when uncertainty matters....

Arya Pourzanjani

February 28, 2018

Correlation or no correlation, that is the question

Learn how to update beliefs about correlation using Bayesian inference with Stan, including how to simulate data, apply priors like LKJ, and quantify uncertainty beyond sample correlation. This post highlights how even weak priors can meaningfully shift our conclusions in small-data scenarios...