Algorithms for exploring Markov equivalence classes: MCMC, size counting
This package provides functions for sampling from a space of Markov equivalence classes of directed acyclic graphs via a reversible MCMC, and for counting and exploring sizes of these classes.
pip install ./MarkovEquClasses-1.0.zip
People who use the codes should ack the author and cite the papers in the following Reference.
Yangbo He and Jinzhu Jia and Bin Yu, Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs, The Annals of Statistics,41(1),1742-1779,2013.
Yangbo He and Jinzhu Jia and Bin Yu, Supplement to “Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs”,2013.[http://arxiv.org/abs/1303.0632]
Yangbo He and Jinzhu Jia and Bin Yu, Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs,To appear in Journal of machine learning research, 2015
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