home/categories/scientific-computing/letta-ai-skills-letta-benchmarks-trajectory-only-mcmc-sampling-stan-skill-md
scientific-computingresearch

mcmc-sampling-stan

Guide for performing Markov Chain Monte Carlo (MCMC) sampling using RStan or PyStan. This skill should be used when implementing Bayesian statistical models, fitting hierarchical models, working with Stan modeling language, or running MCMC diagnostics. Applies to tasks involving posterior sampling, Bayesian inference, and probabilistic programming with Stan.

letta-ai
maintainer
letta-ai
آخر تحديث 1/19/2026
النجوم
31
التفرعات
5
quick start

Installation and usage

Guide for performing Markov Chain Monte Carlo (MCMC) sampling using RStan or PyStan. This skill should be used when implementing Bayesian statistical models, fitting hierarchical models, working with Stan modeling language, or running MCMC diagnostics. Applies to tasks involving posterior sampling, Bayesian inference, and probabilistic programming with Stan.

التثبيت
$ install --globalskills.sh
الاستخدام

بعد التثبيت، يمكنك استخدام هذه المهارة بتشغيل الأمر التالي في الطرفية:

skills use mcmc-sampling-stan