Posterior Computation

Sampler diagnostics include rank-normalised R-hat, effective sample sizes, and post-warm-up divergences. Posterior computation uses Hamiltonian Monte Carlo with the No-U-Turn Sampler on unconstrained coordinates. The model transforms simplex weights, positive scalars, and Stiefel factors to support HMC sampling.