IBM® SPSS® Amos™ 28

Selects Hamiltonian Monte Carlo (MacKay, 2003) for those problems in which the default uniform distribution is specified for each parameter and for which neither Admissibility nor Stability is selected on the Prior tab of the Bayesian Options window.

The random walk Metropolis algorithm is used, not Hamiltonian Monte Carlo, if

•any prior other than the default uniform prior is specified, or

•Stability is selected on the Prior tab of the Bayesian Options window, or

•Admissibility is selected on the Prior tab of the Bayesian Options window.

The random walk Metropolis algorithm is always used for data imputation.