Bayesian Concepts

Reference material for the Bayesian PCA process, split into:

• Bayes Theorem — the core prior × likelihood → posterior relationship, and how it applies to this project
• Priors — non-informative priors, proper vs improper, and prior predictive checks
• MCMC — Markov chains, posterior draws, and why this project uses MCMC over a closed-form posterior