贝叶斯

The statistical Bayesian channel estimation was investigated in the CDMA TDD mode.

分析了CDMA时分模式下的统计贝叶斯信道估计。

In order to solve this problem, a multi-information fusion edge detection algorithm based on Bayesian statistical inference theory is proposed.

为此，文中提出一种基于贝叶斯统计推理理论的多信息融合边缘检测算法。

The volatility of Chinese stock market is investigated using the dynamic version of stochastic volatility model, and Bayesian analysis based on MCMC is introduced to improve the parameters estimation in stochastic volatility model.

采用动态随机波动性模型实证研究了中国股票市场的波动性。通过基于马尔可夫链蒙特卡罗模拟的贝叶斯分析方法，较好地估计了随机波动性模型中的参数与波动性序列。

Bayes sequential decision problems, stopping rule problems, optimality of sequential probability ratio test, Wald identity, asymptotic theory, and other topics.

序贯分析：贝叶斯序贯决策问题，停步法则问题，序贯概率比率检验的最优化，Wald等式，渐进理论，及其它。

At first,this paper introduces differences between Dempster-Shafer's evidence theory and Bayes' subjective probability theory and main definitions and algorithms on D-S evidence theory.

本文首先介绍了证据理论与贝叶斯主观概率理论对于解决不确定性问题的差异，证据理论的主要定义和算法。

Conventional remote sensing image classification methods are mostly based on Bayes' subjective probability theory.

传统的图像分类方法多数是基于贝叶斯主观概率理论的图像分类方法，由于其在解决不确定性问题上存在诸多缺陷，近年来，将数学的证据理论应用于遥感图像分类已成为新的发展趋势。

Topics covered include subjective notion of probability, Bayes' Theorem, prior and posterior distributions, and data analysis techniques for statistical models.

包括：概率的主观定义，贝叶斯理论，先验和后验分布，统计模型的数据分析技术。

Bayesian econometrics is based on a subjective view of probability, which argues that our uncertainty about anything unknown can be expressed using the rules of probability.

在计量经济学里，我们研究模型的很大一部分工作是处理它的参数，贝叶斯经济学家认为概率是主观的，我们可以使用似然原则来表达我们对未知世界的不确定性。

Conventional remote sensing image classification methods are mostly based on Bayes' subjective probability theory.Because there are many defects,a new tendency is that the mathermatical theory of evidence has been applied to remote sensing image classification.

传统的图像分类方法多数是基于贝叶斯主观概率理论的图像分类方法，由于其在解决不确定性问题上存在诸多缺陷，近年来，将数学的证据理论应用于遥感图像分类已成为新的发展趋势。

In TCM this pattern is called pair of medicine,and it can be resolved by frequent pattern mining. The symptom complex diagnose can be treated as a Bayesian training and a Bayesian classification on large clinical database cases. The critical step to resolve the Chinese prescription compounding is to build an appropriate model to express the progress of it.

中药知识发现集中在发现常用的单味药合用模式，在中医术语中称之为药对，这可以用高频集发现来解决；中医症候诊断可以看成是在大量临床案例库上的贝叶斯训练器和分类器；解决方剂配伍问题的关键是建立起一个合适的配伍计算机模型。

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。