1)Bayesian lower limit贝叶斯下限
1.The Bayesian lower limit of life-time reliability for liquid propellant rocket engine is given.给出了液体火箭发动机寿命可靠性的贝叶斯下限,并与经典最优正则置信下限和目前工程上采用的置信下限进行了比较,结论是贝叶斯下限合理可用。
英文短句/例句
1.Bayesian Lower Limit of Life-time Reliability for Liquid Propellant Rocket Engine液体火箭发动机寿命可靠性的贝叶斯下限
2.Bayesian method for forecasting stock with Linex loss;Linex损失下股票投资的贝叶斯预测
3.Transformation of Bayesian Nash Equilibrium under Incomplete Information;不完全信息下贝叶斯纳什均衡的转化
4.SEM Algorithm with Values Missed in Learning Bayesian Network数据缺失下学习贝叶斯网的SEM算法
5.Research on AdaBoost-Based Restricted Bayesian Combination Classifier;基于AdaBoost的限制性贝叶斯组合分类器研究
6.Bayesian Networks Construction and Their Applications in Data Mining贝叶斯学习、贝叶斯网络与数据采掘
7.A Bayesian Scheme of Reliability Acceptance Test in Binomial Case二项分布下的一种贝叶斯可靠性验收试验方案
8.The Empirical Bayes Estimation for the Parameter of the Gamma Distribution Families in the Case of NA Samples;NA样本情形下Gamma分布族参数的经验贝叶斯估计
9.Bayesian Estimation of Step-stress Accelerated Life Testing of Exponential Distribution Under CE Model;CE模型下指数分布步加试验的贝叶斯估计
10.The Bayes Assessment of the Students Independent Learning under Network Environment;网络环境下学生自主学习的贝叶斯评价
11.Bayesian Game Analysis of Bidding Strategy of Generation Company with Incomplete Information;不完全信息下发电商竞价策略贝叶斯博弈分析
12.Bayesian game model on electric power bidding under uncertain demand;不确定需求下的电力竞价贝叶斯博弈模型
13.The Study of Learning Bayesian Network from Extremely Large or Small Datasets极大或极小数据集下贝叶斯网学习的研究
14.Empirical Bayes Estimation for Parameters of Weibull Distribution Family Using NA SamplesNA样本下Weibull分布族参数的经验贝叶斯估计
15.The Bayesian Estimate of the Orders of MA(q) Models of Time SeriesMA模型阶数在平方损失函数下的贝叶斯估计
16.1. Bayesian statistics theory: Expatiate the mathematic principle of Bayesian Networks, Bayesian statistics.1．贝叶斯统计理论：阐述贝叶斯网络的数学原理——贝叶斯统计。
17.The origin of the concept of obtaining posterior probabilities with limited information is attributable to Thomas Bayes.根据有限的信息得到的后定概率的原始概念是贝叶斯创造的。
18.Research on the Static Bayesian Games with Finite Fuzzy Types and Its Application;具有有限模糊类型的静态贝叶斯博弈模型及其应用研究
相关短句/例句
Bayesian threshold贝叶斯门限
3)point-to-point Bayesian threshold逐点贝叶斯门限法
4)Restricted Bayesian Network限制性贝叶斯网络
1.A local scoring-search algorithm for restricted Bayesian networks structure learning一种局部打分搜索型限制性贝叶斯网络结构学习算法
5)Bayes贝叶斯
1.Range profile-based radar target recognition using discretized Bayes classifying algorithm;离散贝叶斯分类算法雷达目标一维距离像识别
2.Study on spam email treatment model based on Bayesian method;基于贝叶斯方法的垃圾邮件处理模型研究
3.The Application of Support Vector Machines Within Bayesian Evidence Framework to Drift Prediction of Gyro;贝叶斯证据框架下的支持向量机及其在陀螺漂移预测中的应用
6)Bayesian贝叶斯
1.Resolution of the Evolutionary Rel ationship of Papillomaviruses Using Bayesian Phylogenetics;贝叶斯推论重建乳头瘤病毒的进化系统
2.Bayesian Linear Calibrated Prediction Approach in Warhead Virtual Experiment;战斗部虚拟试验贝叶斯线性校准预测方法
3.People detection under Bayesian framework;贝叶斯框架下的人的检测
延伸阅读
贝叶斯公式贝叶斯公式为利用搜集到的信息对原有判断进行修正提供了有效手段。在采样之前，经济主体对各种假设有一个判断（先验概率），设为，{}。关于先验概率的分布，通常可根据经济主体的经验判断确定(当无任何信息时，一般假设各先验概率相同)，较复杂精确的可利用包括最大熵技术或边际分布密度以及相互信息原理等方法来确定先验概率分布。当采样得到样本值后，当事人对各假设的判断(后验概率)为 ，= 1， 2， %26#8230;， (5.5) 在实际经济生活中，信息搜寻工作不是一次就完成的。当信息搜寻进行到某一阶段，设已进行了 次采样( =1，2，%26#8230;)，此时经济主体对各假设的后验概率的认识为 =1， 2， %26#8230;， (5.6) 其中，表示在第次采样前对假设的判断，当 =1时即表示第一次采样前的先验概率，从而式(5.5)变成式(5.6)的一个特例，即，将其记为。
