What’s New in SAS/ETS 13.2


QLIM Procedure

The following features have been added to the QLIM procedure:

  • Bayesian estimation features. An automated algorithm that searches for a good representation of the posterior distribution is provided. The main features are as follows:

    • an automated reiterative implementation of the MCMC algorithm that can search for the stationary region of the posterior distribution

    • an automated reiterative implementation of the MCMC algorithm that can determine the length of the posterior samples

    • a weighted scheme that can recombine the samples from multiple MCMC chains when each chain approximates only a portion of the posterior distribution