英语翻译This measure,a personal belief in the event,can vary among various individuals.While this sounds perhaps like a little too much freedom,this view comes with a rule for updating probability in light of new observations,known as Bayes theor

英语翻译This measure,a personal belief in the event,can vary among various individuals.While this sounds perhaps like a little too much freedom,this view comes with a rule for updating probability in light of new observations,known as Bayes theor
英语翻译
This measure,a personal belief in the event,can vary among various individuals.While this sounds perhaps like a little too much freedom,this view comes with a rule for updating probability in light of new observations,known as Bayes theorem.There exist Limits theorems that show that if Bayes theorem is used for updating the degree of belief,this degree of belief will converge to the limiting frequency regardless of the actual value of the initial degree of belief (as long as it is not extreme in the sense of being exactly zero or exactly one).While these theorems give guarantees in the infinity,a reasonable prior belief will lead to a much faster convergence.

英语翻译This measure,a personal belief in the event,can vary among various individuals.While this sounds perhaps like a little too much freedom,this view comes with a rule for updating probability in light of new observations,known as Bayes theor
这种方法,也是在一事件中的个人的相信程度,在不同人中都会有所变化/不同.这听上去或许有点太过自由,这种观点是与一条规则一起产生的,根据新的观察更新概率,即我们所知道的贝叶斯定理.极限定理表明如果贝氏定理被用于加强可信度,无论最初可信度的实际值是什么（只要它不是完全为零或一）这种可信度会趋于极限频率.这些定理给无限大提供保证,而合理的之前的信认会导致更快的概率收敛.
凑合着看吧,因为对数学这块不太了解,希望能给到一点点帮助.