- class pymc.smc.kernels.IMH(*args, correlation_threshold=0.01, **kwargs)#
Independent Metropolis-Hastings SMC_kernel
Create an initial population from the prior distribution
Independent Metropolis-Hastings perturbation.
Resample particles based on importance weights
SMC_kernel settings to be saved once at the end of sampling.
Stats to be saved at the end of each stage
Setup logic performed once before sampling starts
Tuning logic performed before every mutation step
Calculate the next inverse temperature (beta)