bayesian model

基本解釋

First, an efficient approximate Bayesian model class selection scheme is used to estimate the number of concurrent events.
首先，使用一個有效的近似貝葉斯模型類的選擇方案來估計并發(fā)事件數目。
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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.
介紹了利用貝葉斯因子進行模型選擇、綜合的理論與方法，通過統計試驗，驗證了貝葉斯模型選擇在一定程度上能識別數據的真實線型。
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.
貝葉斯模型平均法用來綜合各模型的結果并提供一種反映模型選擇和抽樣變異性的不確定性度量。