I am working with the weighted SBMs. I have two questions:
Does PPBlockState work with edge weights? I could not find how to pass recs and rec_types arguments to the PPBlockState. I am able to pass those arguments to BlockState, and NestedBlockState.
Model Class Selection: in the paper peixoto-revealing-2021 and in the section of the cookbook model class selection, does the procedure work for weighted SBMs or is it only for simple SBMs? I believe it does, because we are able to sample partitions using the same mcmc_equilibrate function.
Thank you!
So just so I understand correctly:
when I collect the description lengths of the sampled partitions with mcmc_equilibrate(), I will need to take into account the scaling of the probability density incurred by the variable transformations. I can then use the modified description lengths in calculating the total evidence and select the model class.