bayesian-statistics-guide
Bayesian inference methods including prior selection, MCMC, and model comparison
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill bayesian-statistics-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Bayesian Statistics Guide A skill for applying Bayesian statistical methods to research data analysis. Covers prior specification, Markov chain Monte Carlo (MCMC) sampling, posterior interpretation, model comparison, and reporting standards. ## Bayesian Framework Overview ### Bayes' Theorem in Practice ``` Posterior = (Likelihood x Prior) / Evidence P(theta | data) = P(data | theta) * P(theta) /
What does the bayesian-statistics-guide skill do?
Bayesian inference methods including prior selection, MCMC, and model comparison
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill bayesian-statistics-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.