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  1. 概率(Probability)的本质是什么? - 知乎

    概率(Probability)的本质是什么? 概率 存在两种解释基础: 1. 物理世界本身存在的随机性(客观概率)。 2. 是我们由于信息不足而对事件发生可能性的度量(主观概率)。 由两种解释建 …

  2. likelihood和probability的区别是什么? - 知乎

    Probability:用已知的(影响实验结果的)参数作出(能够预测实验结果的)函数,藉以预测实验的结果。 三、 概率(probability)和似然(likelihood),都是指可能性,都可以被称为概率,但 …

  3. possibility和probability有区别么? - 百度知道

    possibility和probability的区别为:指代不同、用法不同、侧重点不同 一、指代不同 1、possibility:可能,可能性。 2、probability:可能性,或然性。 二、用法不同 1 …

  4. probability - Precise definition of the support of a random variable ...

    TL;DR The support of a random variable X X can be defined as the smallest closed set RX ∈B R X ∈ B such that its probability is 1, as Did pointed out in their comment. An alternative …

  5. probability - Boy Born on a Tuesday - is it just a language trick ...

    The following probability question appeared in an earlier thread: I have two children. One is a boy born on a Tuesday. What is the probability I have two boys? The claim was that it is not actual...

  6. probability和possibility的区别是什么? - 知乎

    probability:0和1之间的数 possibility:形容 event,所有可能性 the probability of each possibility when you toss a fair die, is the same 或者说list all possibilities and calculate their probability

  7. probability - Combination with repetitions. - Mathematics Stack …

    The formula for computing a k-combination with repetitions from n elements is: $$\binom {n + k - 1} {k} = \binom {n + k - 1} {n - 1}$$ I would like if someone can give me a simple basic proof that a

  8. 干货丨化合物靶标预测平台工具盘点 - 知乎

    15. Dez. 2020 · ④点击Predict Targets进行靶标预测,预测完成后,结果中对靶标类型进行了分类,可以直接保存成PDF格式,或导出至Excel进行筛选等操作; 预测结果按照可能 …

  9. probability - Expectation of the maximum of gaussian random …

    Is there an exact or good approximate expression for the expectation, variance or other moments of the maximum of $n$ independent, identically distributed gaussian ...

  10. probability - What is $\operatorname {Var} (X - Y)$? - Mathematics ...

    9. Okt. 2018 · 24 I am working on a problem from probability theory and am a little bit stuck. I know that the formula for Var(X + Y) Var (X + Y) is