event probability

event probability的基本解释

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事件概率

与event probability相关的网络例句 [注：此内容来源于网络，仅供参考]

The author goes on news's definition, describing the phenomena of illusive event and pseudo event and dividing them. After summing up the research on illusive event and pseudo event, the author manages to divide illusive event and pseudo event into "illusive event" and "pseudo event". And the reasons why they generate and develop and their characters are being analyzed. On the basis of reasons and characters mentioned above, the author discusses legal responsibility of "illusive event" and "pseudo event" respectively. And in the end of the text, precautions against "illusive event" and "pseudo event" are being carried out.

本文作者从新闻的定义出发，对虚假新闻的现象进行描述和分类，对虚假新闻的学术研究进行总结，试图将虚假新闻分为&虚新闻&和&假新闻&并阐释&虚新闻&和&假新闻&产生发展的原因和特点，在此基础上论述&虚新闻&和&假新闻&的法律责任，最后提出相关的预防&虚新闻&和&假新闻&的对策。

Then we introduced transition probability kernel for the hidden state process and the confederated process. In the deep research, we found that some similar parameters of state transition probability, observation symbol probability and initial state probability were involved in the transition probability kernel of the confederated process. So we can complete the training of traditional HMM parameters by training the transition probability kernel of the confederated process. To our surprised, we got the consistency of transition probability kernel of the confederated process. Meanwhile, we proved the rationality and reliability of the parameters estimation equations under the classical B-W algorithm.

然后对联合过程的转移概率核展开研究，我们根据过程的取值空间的不同，引入了隐状态空间和联合过程空间上的转移概率核，研究中发现在联合空间上的转移概率核包含了在一般的隐马氏模型的参数估计中的所有类似的三组参数(转移概率，观测概率和初始概率)，因此对传统的隐马氏模型的参数训练我们可以通过联合过程的转移概率核的训练来完成，更令我们惊奇的是联合过程的转移概率核还具有一致性；同时对于Baum提出的经典的B-W算法给出的关于模型的参数重估计公式，证明了它的合理性和可靠性，即模型经过重估计后的参数能够满足给定的单观测序列在模型下发生的概率是单调递增的。

Chapter 1 we introduce the risk process with positive and negative risk sums,show the background of the risk process. Chapter 2 we show the integral and differential equation of birth probability,give the Lundberg inequation that the ruin probability satisfies with martingale approach,then discuss then ruin probability of the risk process with two dependent positive and negative risk sums,study how the dependence impacts on the ruin probability. Chapter 3 we compare the concrete examples by numbers,and makes further comparison between the two results coming out of independency and dependency,with the purpose of narrating their respective impacts on the probability of ruin probability.

本文第一章引入含正、负风险和的风险模型，介绍风险过程的实际背景；第二章给出生存概率Φ所满足的积分-微分方程，利用典型鞅方法给出破产概率Ψ满足的Lundberg不等式，并且讨论两个相关正、负风险和模型的破产概率，研究相关性对破产概率的影响；第三章对具体实例给出数值比较，进一步把相关性和独立性两种情形的结果进行比较，说明对破产概率的影响。

与event probability相关的网络解释 [注：此内容来源于网络，仅供参考]

概率抽样法 probability sampling 概率抽样法：probability sampling

3004 1 probability distribution 概率分布 probability distribution 概率... | 3005 1 probability sampling 概率抽样法 probability sampling 概率抽样法 | 3006 1 procedure audit 程序审计 procedure audit 程序...

probability field：机率域

机率事件 probability event | 机率域 probability field | 机率函数 probability function

Random event：事件 event 随机事件

组成环的分布与系数 distribution and coefficient of component link | 事件 event 随机事件 random event | 概率 probability