Supplement to "Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs"
arXiv:1303.0632v2
AI Analysis
This is incremental work, offering supporting details for a method targeting sparse directed acyclic graphs in statistical modeling.
The authors provided supplementary material for a paper on reversible MCMC methods, including preliminary results, examples, experiments, new algorithms, and proofs.
This supplementary material includes three parts: some preliminary results, four examples, an experiment, three new algorithms, and all proofs of the results in the paper "Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs".