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Algorithms for exploring Markov equivalence classes: MCMC, size counting

Project description

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.

Example:

pip install MarkovEquClasses

from MarkovEquClasses import *

smalldemo()

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

Project details


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