Decomposition of maximum likelihood in mixed graphical interaction models
混合图交互模型中最大似然估计的分解
We show how decompositions of marked graphs induce corresponding decompositions of maximum likelihood estimates in mixed graphical interaction models. We use this result to obtain explicit formulae for the estimates in decomposable models and to obtain factorizations of likelihood ratio statistics.