Stan

Research tasks

• Write reusable Bayesian probability models
• Run HMC and NUTS posterior sampling
• Diagnose models and generate predictions through language interfaces

What to evaluate before use

• Divergences, low effective sample sizes, or problematic R-hat values require investigation; simply drawing more samples may not fix the model.
• Parameterization, priors, and variable scales strongly affect identifiability and computation, and the model still requires domain validation.

Verification note

This entry summarizes the tool's role without assessing scientific accuracy or endorsing its outputs. Features and terms can change; consult the official source before adopting it for consequential work.