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inverse probability

  • 逆机率
  • [数] 逆概率

网络释义专业释义英英释义

  [数] 逆概率

在费歇尔的研究过程中,他曾有好几次差点儿就建立一门统计学业的分支学科,也就是他所称的“逆概率”(inverse probability),但每次他都半途而废。逆概率的思想起源于18世纪的一位业余数学家雷韦朗?

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  逆机率

... Inverse probability: 逆机率 Inverse probability: 反机率 inverse probability censoring weighted: 逆概率删失加权 ...

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  反机率

... Inverse probability: 逆机率 Inverse probability: 反机率 inverse probability censoring weighted: 逆概率删失加权 ...

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  [数] 反概率

inverse probability inverse Markoff chains : 马尔可夫链中的逆概率 inverse probability : 逆概率,反概率 inverse : 相反的,反面的,倒转的,逆的 ..

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短语

Inverse probability receiver 反概率接收机

Inverse probability criterion 反概率准则

inverse probability weighting 逆概率加权

criteria of inverse probability 反概率准则

inverse probability censoring weighted 逆概率删失加权

inverse probability formula 逆概公式

inverse probability weight 逆概率权

formula of inverse probability 逆概率公式

inverse probability of treatment weighting 逆处理概率加权法

 更多收起网络短语
  • 逆概率
    逆机率
  • 逆概率
    逆机率
    反概率

·2,447,543篇论文数据,部分数据来源于NoteExpress

Inverse probability

  • abstract: In probability theory, inverse probability is an obsolete term for the probability distribution of an unobserved variable.

以上来源于: WordNet

双语例句权威例句

  • Also, I needed to have inverse probability functions.

    此外需要概率函数

    youdao

  • This led him to calculate that the information content of any event was proportional to the logarithm of its inverse probability of occurrence.

    使提出了这样推论:事件信息容量与事件发生概率对数成正比

    youdao

  • To gain better estimates of relative treatment effects in the presence of selective crossover, we used inverse probability of censoring weighted (IPCW) modeling.

    采用概率加权分析(IPCW)模型更好评估转换治疗相对治疗效果

    youdao

更多双语例句
  • This led him to calculate that the information content of any event was proportional to the logarithm of its inverse probability of occurrence. (Unlike many popular-science books that eschew equations, Mr Vedral includes a couple and tries his best to explain them to the reader.) What does the equation mean?

    ECONOMIST: Information theory

  • Economists such as Mitchell Polinsky, of Stanford Law School, and Steven Shavell, of Harvard Law School, argue that to deter harmful conduct, punitive damages should be equivalent to the amount of harm caused, multiplied by the inverse of the probability of detection.

    ECONOMIST: Punitive damages

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