Which sort of parameters can Hamiltonian Monte Carlo not handle? Can you explain why? Explain the difference between the effective number of samples, n_eff as calculated by Stan, and the actual number of samples ? Which value should Rhat approach, when a chain is sampling the posterior distribution correctly