贝叶斯推断

基于贝叶斯推断的上证指数突变点研究

Research on Change-Points in Shanghai Composite Index Based on Bayesian Inference

潜伏期变化的随机流行病模型及其贝叶斯推断

Bayesian inference for stochastic epidemic model with varied latent periods

参数估计的损失与风险的贝叶斯推断

Bayesian Inference for the Loss and Risk Function of Parameter Estimators

数据缺失条件下的贝叶斯推断方法缺失数据的插补调整

Bayesian Inference with Missing Data Imputation adjustment method for missing data

完全随机缺失机制下伽玛分布中形状参数的经验贝叶斯推断

Empirical Bayes inference for scale parameter of Gamma distribution with MCAR

动态测试中单次性信号测试数据的贝叶斯推断

A Bayesian inference of measurement data of simple signal in dynamic measurement

几何分布时间序贯检验的贝叶斯推断

Bayesian procedure in time sequential sample plan of geometric distribution

基于贝叶斯推断的操作风险度量模型研究

Study on measuring model of operational risk applying Bayesian inference

真的在遵循这样的模式，所以我刚才才举了这个例子。这说明我们实际上都是天生的贝叶斯推断器。

And what it means is we really are Bayesian inference machines .

但是贝叶斯推断的神经网络实现机制尚不明确。

However , the neural implement mechanism is still unclear .

计算结果表明，贝叶斯推断的参数后验分布是不对称的；

The results show that the posterior distributions of parameters are dissymmetrical .

神经视觉推断模型的贝叶斯推断的计算原理是基于信任传递算法。

The neural inference model perform Bayesian inference based on belief propagation algorithm .

贝叶斯推断中边际似然函数涉及到维数较高的复杂积分的计算，因而精确地计算边际似然函数往往有困难。

In Bayesian reference , marginal likelihood function involve to compute high dimensional complex integrand .

负二项分布在统计学中有着广泛的应用，被普遍应用于点计数据以及贝叶斯推断中。

Negative binomial distribution is used commonly to model count data , especially in Bayesian inference .

现代经济管理中的线性贝叶斯推断理论与多总体贝叶斯分类识别方法研究

Bayesian Linear Inference Theory and Classification Identification Method for Multiple Populations in the Modern Economics and Management

后随着计算机理论的不断发展，贝叶斯推断方法得到了广泛的应用。

With the development of computer theory , Bayesian inference method has been widely used in many areas .

然后注意，贝叶斯推断的重点是我们靠两个信息源来做出推断。

And the key idea to Bayesian inference is you have two sources of information from which to make your inference .

由于贝叶斯推断考虑了先验信息，因此更频繁地出现在时间序列结构的突变点识别中。

Because Bayesian inference takes into account a priori information , and therefore appear more frequently in the time series structure of the mutation point recognition .

而对二元贝塔分布，则是根据贝叶斯推断导出混合模拟方法，将其应用到相关二元贝塔分布的抽样中，并通过一个数值例子验证了该方法的可行性。

Secondly , the author applies the mixture approach to the sampling of bivariate beta distribution , further more , the validity is tested by experiment .

并且大脑可以快速地对视觉信息进行处理和推断，这说明基于神经网络的并行结构可以快速地实现贝叶斯推断。

Furthermore , the brain can process vision information very efficiently , which suggests that neural network can quickly solve Bayesian inference benefit from its parallel architecture .

基于熵的定义与极大熵准则和贝叶斯推断，对风险环境下的煤电联营项目融资额度进行了估算。

Based on the definition of entropy and the rule of maximum entropy and the theory of Bayes risk , the quantity of project financing for CPPP is estimated ;

这也是首次运用贝叶斯推断模型对电子银行交易额进行的推断和分析，由此判断电子银行业务交易额是否在正常变化区间之内。

This is also the first time to deduct and analyze electronic bank trading volume and to determine whether the volume in normal change sector with the usage of Bayesian inferences model .

在引入基于贝叶斯推断的突变点检验方法后，本文将其应用于我国能源消费结构突变点问题的实证研究中。

In the introduction the point of discontinuity inspection procedure which infers after Bayes , this article applies it in our country energy consumption pattern point of discontinuity question real diagnosis research .

文章提出了变异系数未知和已知情况下抗力标准值的贝叶斯推断公式，并予以验证。

In this paper , the bayes predict formula of the resistance characteristic value is put forward in the condition of the coefficient of variation is known or unknown , and an authentication is provided .

基于这些问题本文以高速铁路线路状态视觉检测为背景，针对线路状态视觉检测中的两个核心问题：前景提取和立体匹配，分别提出了两种新的基于贝叶斯推断框架的算法。

Based on these issues and take visual inspection of high-speed railway line as the application background , this thesis proposed two algorithms for two core issues in railway line surveillance : foreground detection and stereo matching .

评述了应用经典统计学和贝叶斯推断检验资产组合均值方差有效性的文献，提出了这些方法在我国应用-的可能性。

The purpose of this paper is to summary the literatures on tests of portfolio mean-variance efficiency in the framework of classical statistics and Bayesian inference . Also , the paper discusses the possibility of applying the methods to Chinese security market .

基于贝叶斯统计推断的框架结构损伤诊断研究

Damage assessment research on frame structure based on Bayesian statistical inference

用贝叶斯统计推断进行系统可靠性分析的方法

Method of Analysis of System Reliability with Bayesian Inference

将贝叶斯统计推断方法与分位数回归结合起来，就得到了贝叶斯分位数回归。

Combined with Bayesian statistical inference methods and quantile regression , we get the Bayesian quantile regression .

首先，分析了模型的统计结构，并利用贝叶斯定理推断模型参数的完全条件后验分布。

Firstly , basing on the analysis of the statistical structure and Bayes ' theorem , the posterior distribution of parameters is inferred .