We propose a method for identifying models with good predictive performance in the family of Bayesian log-linear mixed models with Dirichlet process random effects for count data. Their wide applicability makes the assessment of model performance crucial in many fields, including disclosure risk estimation, which is the focus of the present work.

中文翻译：

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评估贝叶斯半参数对数线性模型：披露风险估计的应用

我们提出了一种在贝叶斯对数线性混合模型家族中识别具有良好预测性能的模型的方法，该模型对计数数据具有狄利克雷过程随机效应。它们的广泛适用性使得模型性能评估在许多领域都至关重要，包括披露风险估计，这是当前工作的重点。