贝叶斯

The Bayesian analysis of the multiple equation linear system is an important part of Bayesian inference theory for linear model.

指出多重线性模型系统的贝叶斯预报分析是贝叶斯线性模型理论的重要组成部分。

The Bayesian analysis of the multiple equation linear system is an important part of Bayesian inference theory about linear model.

多方程线性模型系统的贝叶斯预报分析是贝叶斯线性模型理论的重要组成部分。

P×P and P were two major non-Bayesian algorithms. 6 Less than 25% of the participants used frequency. In those who got other results except P , much more people used probability. Experiment 2 had a randomized multigroup posttest design. There was only one factor named implied condition which had five levels: not imply, imply P, imply addition, imply division and imply all. The results showed that: 1 All the implied conditions significantly improved the participants' performance. When under the condition of implying division, the participants derived the best results. 2 31.9% of the participants got correct answer, 73% of who used frequency to rewrite the information. 3 78% of the participants could apply one or several of the four concepts: probability of "not the event", multiplication rule, addition rule and condition probability.

结果表明：1 被试的估计受问题内容的影响，权威型问题情境容易使被试高估，非权威型问题情境使被试的高估现象大大减少；数据结构和提问形式对被试估计不产生影响。2 有近5%的被试能正确估计P，其中 73%使用频数对信息进行再表征。3 贝叶斯推理中各分步骤的困难程度由低到高分别是：乘法、P、加法、除法。4 有50%的被试能运用对立事件概率、概率乘法、概率加法、条件概率这四个概念中的一种或者几种。5 使用最多的两种非贝叶斯算法是P×P和P。6 不到25%的被试使用频数；求得除P以外各类结果的被试中，使用概率的人数远多于使用频数的。

From the twenty century, the computer technology has great development, which made the computation of the posterior distribution based on the multidimensional integral possible.

二十世纪以来，计算机技术得到了空前的发展，这使得以多维积分为基础的贝叶斯后验概率的计算成为可能，这也推动了贝叶斯计量经济学的发展。

Criteria for model comparison were residual variance estimates, minus two log likelihood function, Akaike's information criterion, Bayesian information criterion, Bayesian factor, information-theoretic measure of model complexity, and percent relative reduction of complexity.

模型的统计标准有总剩余方差、似然函数对数值、Akaike信息尺度、贝叶斯信息准则、贝叶斯因子、模型复杂性尺度和复杂性相对下降率。

Ve Bayesian. The thesis researches and designs the inference rule of anomaly intrusion detection system based on Bayesian Network, the learning rule of feature parameters used by anomaly intrusion system based on Bayesian network, and designs data structure of Bayesian Network and the relevant algorithms.

研究并设计了入侵推理和基于贝叶斯网络异常检测特征参数的学习规则、设计了贝叶斯网络的数据结构及相关算法。

Considering the uncertainty of the estimating reliability in the model, the theory of Bayes disk decision is used to solve the problem. The expected utility function is used to measure the uncertainty of the estimating reliability, and the Bayes decision rule for stopping reliability growth test is defined. In the end, an example is given to validate the feasibility of this method.

考虑到可靠度估计的不确定性，采用贝叶斯风险决策技术，通过期望效用函数量化可靠度的不确定性，并定义了停止可靠性增长试验的贝叶斯决策规则，最后给出了一个应用实例验证了方法的可行性。

In this project, we have deduced the joint inversion model of geodetic data, seismic data and geological data considering about their weight ratio; presented Bayes-iterative search inversion algorithm which improved on the traditional Bayes algorithm and strengthen the stability of inversion solutions; enriched and developed geodetic joint inversion theory and method of tectonic stress field; joint with geodetic, seismic, geological and geophysical data, we have inverted the temporal and spatial variation characteristics of crustal deformation of active tectonic blocks in North China and the present-day cruatal movement and strain-stress field by FEM, DDA and bi-cubic spline function fit method; especial for the crustal deformation result in some typical areas, we have presented geodynamical interpretation and done some seismic dangerous estimations.

大地测量联合反演构造应力场属于大地测量与地球动力学和地震学的交叉研究领域，主要内容是研究用大地测量地壳运动监测数据定量研究地壳运动和变形的动力学问题及分析预测地震，本项目推导了兼顾权比确定的大地测量、地震和地质三类数据的联合反演模型；提出贝叶斯-轮回搜索反演算法，改进传统的贝叶斯方法，改善反演解的稳定性；丰富、发展了大地测量反演构造应力场理论及方法；联合大地测量、地震、地质、地球物理数据采用有限单元法、块体不连续变形分析法和双三次样条函数拟合方法反演分析了华北地区活动地块运动时空变化特征以及中国大陆现今地壳运动与应变-应力场，对典型地区地表形变结果进行地球动力学解释并进行地震危险性估计。

Finally, a reliability model of military information system software based on unascertained set theory and Bayesian Net was proposed.

将未确知集理论和贝叶斯网络应用于军事信息系统软件可靠性建模研究，采用其描述软构件失效特征，计算可靠性参数，并在此基础上构建了一个基于未确知集—贝叶斯网络的军事信息系统软件可靠性模型。

Furthermore, this paper proposes a approach for Bayesian netwtork-based service context cognizing model, and the simulation experiment is done to prove this method.

提出了基于贝叶斯网络的业务上下文认知模型的构建方法，并仿真验证了利用贝叶斯网络来进行不确定性上下文信息的推理方法。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。