But that's the idea, with Basian inference, it's all hinging around this formula, frequentist inference.

但这就是Basian理的思想 它都围绕着这个公式 频率理。

Because this example shows you that my Bayesian inference has very good Frequentist properties.

因为这个例子告诉你, 的贝斯有非常好的频率特性。

And so it turns out in this analysis, the Bayesian is the optimal frequentist.

因此, 在本分析中, 贝斯模型是最优的频率论者。

So in chapter two, I am going to compare and contrast the basian and frequentist ways of doing inference.

所以在第二章 较和对basian和frequentialist的理方法。

But it turns out Bayesians can be frequentists as well.

但事实证明, 贝斯主义者也可以是频率主义者。

So what frequentist property am I looking for out of my inferences?

那么, 在的论中寻找什么频率主义性质呢?

So under the flat prior, the Bayesian concludes exactly what the old frequentist did.

因此，在平坦先验下，贝斯正好得出了老频率论者所做的结论。

And so their interval under the frequentist interpretation is supposed to cover.

因此，根据频率论者的解释，它们的间隔应该是覆盖的。

So if I want to interpret my intervals as frequentist covering, I have to have some properties out of my prior to get that.

所以如果想的区间解释为频率覆盖，必须先获得一些先前的属性才能得到它。