← Theoretical / proof-based

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In this program

Monte Carlo integration
Importance sampling
MCMC: Metropolis–Hastings, Gibbs, HMC (overview)
Convergence diagnostics: R-hat, effective sample size
Variational inference (introduction)
Approximate Bayesian computation (ABC)

Computation

Approximate Bayesian computation (ABC)

Bayesian statistics · Theoretical / proof-based

Topic

Approximate Bayesian computation (ABC)

Practice by unit: Computation

Graduate Bayesian statistics — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).

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