查询词典 posterior distribution

Using the Bayes's theory about a estimate,the article researches the problem of probability change points,then gives a concrete priori distribution and posterior distribution,as well as gives a judge to the existence of probability change points.

利用Bayes估计理论，研究概率变点问题，给出变点的一个具体先验分布和后验分布，并对变点的存在性作出判断。

In most cases, Bayes solution based on the mean of the posterior distribution will be better than the traditional one.

在大多数情况下，基于后验分布的贝叶斯解会优于传统解。

In Bayesian statistics, it can be seen as the posterior distribution of parameter p of a binomial distribution after observing α-1 independent events with probability p and β-1 with probability 1-p.

在贝叶斯统计，它可以被看作是后分布参数P一二项分布后，观测α-1独立事件的概率P和β- 1与概率1 - P的。

The lower Bayesian confidence limit designed is based on the posterior distribution of C_ combined with the application of highest posterior density.

该方法解决了后验分布虽是单峰但非对称的置信下限问题。

Finally we studied the problem of the lower Bayesian confidence limit on the process capability index C_ The Jeffreys'non-informative prior distribution depending on Fisher's information is explored. The posterior distribution of C_is conducted.

最后，研究了C_pm指数置信下限的问题，通过Fisher信息阵确定Jeffrey无信息先验分布，推导出C_pm的后验分布，并据此采用最大后验密度方法构造了贝叶斯置信下限。

Chapter 4 is the central part of this dissertation, where the bayes bilateral integrated moment is established on the base of Bayes theory, downside risk and upside potential. According to the variation coefficient which is based on the M-V approach, we substitute lower partial moment for the numerator of variation coefficient, and use higher partial moment as the substitute of the denominator, then we got bilateral integrated moment. Subsequently, through Bayes method we can absorb new information, revise the return distribution from transcendental distribution to posterior distribution, so we got bayes bilateral integrated moment.

第四章是本文的核心部分，在简要介绍Bayes理论、下方风险和上行潜能的基础上，仿照来源于Markowitz的均值——方差理论的变异系数方法，以下偏矩取代其分子部分，以上行潜能取代其分母部分，设计了双侧综合矩方法，接着再引入Bayes方法，吸纳新信息，采用后验概率，设计了Bayes双侧综合矩方法，并在理论上说明了新方法的优越性。

The case study shows that the method proposed can provide the posterior distribution of parameters of Nash model based on posterior information of parameters.

实例研究表明，该方法能充分利用已知的后验信息获取Nash模型参数的不确定性，得到其后验分布。

The general process for Bayes analysis is: prior distribution + data = posterior distribution.

Bayes分析的一般程序是先验分布＋数据＝后验分布。

Combined with product's field small sampling test and the accelerate factor's prior distribution,the factor's posterior distribution is presented based on Bayesian method.

并利用Bayes方法，结合额定应力环境下的小子样数据和加速因子的先验分布，推导出加速因子后验分布。

Then give a conveniency and applied Bayes-information fusion method when prior information comes from different sources, and find the prior distribution and posterior distribution of the failure rate.

然后，在产品具有多源验前信息源的情况下，给出了一种方便实用的Bayes信息融合方法，充分融合各验前信息，得到产品失效率的验前分布及后验分布。

It is also known as one of the most poisonous naturally occurring substances.

它也被称为一个最自然发生的有毒物质。

The greatest stress is found at the location on the cross section where V is the largest.

最大应力出现在横截面上V为最大的地方。