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三维列联表的贝叶斯对数线性估计AI 解读

This paper presents a Bayesian method to estimate the expected proportions in a three-way contingency table appropriate when prior knowledge about the main, first and second-order interaction effects can be described by a particular kind of exchange ability assumption. The proposed Bayes estimates are calculated by finding those values of the effects which maximize the resulting posterior distribution and can be used to explore the possibility that a nonsaturated submodel,…

三维列联表的贝叶斯对数线性估计AI 解读

This paper presents a Bayesian method to estimate the expected proportions in a three-way contingency table appropriate when prior knowledge about the main, first and second-order interaction effects can be described by a particular kind of exchange ability assumption. The proposed Bayes estimates are calculated by finding those values of the effects which maximize the resulting posterior distribution and can be used to explore the possibility that a nonsaturated submodel,…