bayesian model

基本解释

First, an efficient approximate Bayesian model class selection scheme is used to estimate the number of concurrent events.
首先，使用一个有效的近似贝叶斯模型类的选择方案来估计并发事件数目。
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Based upon the Monte Carlo experiments, the true model can be(identified) in most time, indicating that the performances of Bayesian model selection are efficient.
介绍了利用贝叶斯因子进行模型选择、综合的理论与方法，通过统计试验，验证了贝叶斯模型选择在一定程度上能识别数据的真实线型。
Bayesian model averaging was used to combine the results across models and to provide a measure of uncertainty that reflects the choice of model and the sampling variability.
贝叶斯模型平均法用来综合各模型的结果并提供一种反映模型选择和抽样变异性的不确定性度量。