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bayesian-statistics-guide
Bayesian inference methods including prior selection, MCMC, and model comparison
skills/analysis/statistics/bayesian-statistics-guide/SKILL.md
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# 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) / P(data)
In practice: