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Graduate statistics: measure-theoretic probability, limit theorems (LLN/CLT/delta method/Slutsky), Bayesian computation (Metropolis–Hastings, Gibbs, MCMC convergence), and causal inference (potential outcomes, ATE, ignorability, backdoor criterion).