step

MCMC.step(ws, ly_old, lxs_old)[source]

The performs a Gibbs step for a given variable. This will generate a candidate for the given variable using the corresponding jump function, call yCalc() on the Workspace object ws

Parameters:

  • ws – A Workspace object consistent with the current state of the MCMC run.

  • ly_old – The measurement likelihood before the execution of new step

  • lxs_old – The prior likelihoods for each of the variables that are being retrieved.