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An implementation of the iterative proportional fitting procedure by propagation trees

机译:传播树的迭代比例拟合程序的实现

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摘要

The space-saving implementation of the iterative proportional fitting procedure proposed by Jirousek and Preucil (Comput. Statist. Data Anal. 19 (1995) 177) on this journal can be improved by applying the tree-computation techniques designed for Markov networks. The optimisation problem raised by the use of Markovian propagation trees is solved. Next, an even better implementation is obtained using certain trees, here introduced and called fast propagation trees, which are obtained by "simplifying" optimal Markovian propagation trees.
机译:Jirousek和Preucil(Comput。Statist。Data Anal。19(1995)177)在此期刊上提出的迭代比例拟合程序的节省空间的实现可以通过应用为Markov网络设计的树计算技术来改进。解决了使用马尔可夫传播树引起的优化问题。接下来,使用某些树来获得更好的实现,这里引入并称为快速传播树,它们是通过“简化”最佳马尔可夫传播树而获得的。

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