贝叶斯

To address the problem that the distribution feature of time series could not always be easily described due to its diversity, the likelihood function based on the asymmetric Laplace distribution was employed irrespective of the original distribution of the data.

针对时间序列分布特征多样性的问题，不考虑序列本身的分布特征而选择非对称Laplace分布的似然函数对模型进行贝叶斯分位回归分析。

The nonlinearity and discrete gradient inherited in CAViaR model is a conundrum for parameter estimation. We take the asymmetric Laplace distribution with scale parameter as the error process; indicate the variance has a minimum positive value when the scale parameter is a constant, conflicting with the distribution of real financial data. Further we estimate the parameters of indirect TARCH-CAViaR model base on Bayesian framework and Markov chain Monte Carlo method. The optimal scale parameter can also be obtained by Markov chain Monte Carlo method.

CAViaR一般模型中递归分位回归方程的非线性和非连续可微性是参数估计的一个难题，基于含有尺度参数的不对称拉普拉斯分布作为误差过程，指出将尺度参数固定为常数会导致不对称拉普拉斯分布随机变量的方差存在最小正值的限制，与实际金融数据分布不符；进而提出采用贝叶斯分析和马尔科夫链蒙特卡罗模拟方法，估计间接TARCH-CAViaR模型的参数，并可获得尺度参数的合理估计。

The probabilistic methodology of inversion consists of evaluation of likelihood function and calculation of posterior probability.

根据贝叶斯理论给出了对含噪声地球物理数据处理的具体流程和方法，主要包括似然函数估计和后验概率计算。

And moreover,Lindley,D.V.regarded the twenty-first century as the world of Bayesian Statistics.

进一步认为二十一世纪将是贝叶斯统计的世界。

Aiming at the quality of XML data, this paper introduces a metadata model based on XML cleaning data through Bayes learning method and Markoff Chain probabilistic strategy, and designs a new intelligence method how to clean XML data by the idea which can clean the similarity duplicated records. Comparing with other methods, the experimental results show that it not only has a high automatization and a low manual working, but also has a better precision and recall.

主要针对XML数据质量问题，通过引入贝叶斯学习方法与马尔可夫链概率转移策略建立XML数据清洗过程的元数据模型，综合清洗结构化数据中相似重复记录的思想，提出一种智能清洗XML数据的新方法；实验表明，与其方法比较，此方法不仅自动化程度较高，降低人工参与的程度，而且具有较高的精确度和召回率。

Bayesian school of thought is an important school in Mathematical Statistics.

贝叶斯学派是数理统计中的一个重要学派，它具有鲜明的特点和独到的处理方法。

Two objects functions were deduced, which of the maximum likelihood method and the conventional Bayes'method, with the application of principle of maximum entropy.

论文应用最大熵原理推导了最大似然法和传统贝叶斯法的准则函数，从信息论的角度为这两种反演分析方法的发展开拓了更广阔的应用空间。

The structure-toxicity relationship of 59 substituted benzenes was studied by the method of bayesian regularization neural network,and a QSAR model was built for environmental toxicity evaluation and prediction of substituted benzenes with lipid-water partition coefficient and four quantum indices.

利用贝叶斯规整化神经网络研究了59种苯取代的环境毒性和分子结构的关系。建立了基于脂水分配系数和4种量子指数的QSAR环境毒性预测模型。结果表明：该模型的预测性能超过偏最小二乘法和逐步线性回归方法，残差分析显示其稳定可靠，有望成为一种良好的苯取代物毒性的环境评价和预测的方法

A new approach is developed to estimate the mixed梂eibull distribution ? s parameters using the Bayes theory.

利用贝叶斯理论给出了估计混合威布尔分布参数的一种新方法。

In this paper, a modified Bayesian model was introduced based on analysis of the Bayesian model.

本文在对已有的贝叶斯分类方法进行分析的基础上，对该方法进行了改进。

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。