@inproceedings{minka1998independence,
author = {Minka, Tom},
title = {Independence Diagrams},
year = {1998},
month = {August},
abstract = {Independence diagrams are a graphical way of expressing the conditional independence relationships among a set of random variables. They cannot encode every possible form of conditional independence but they go a long way toward this end. They are also called ``Bayesian networks,'' which unfortunately suggests inappropriate comparisons to neural networks. This paper discusses how to read and write independence diagrams. The presentation is based on Pearl (1988).},
url = {http://approjects.co.za/?big=en-us/research/publication/independence-diagrams/},
}