bayesian inference for stochastic epidemic model with varied latent periods

negative binomial distribution is used commonly to model count data, especially in bayesian inference.

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。

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path-planning research based on bayesian inference and ant colony algorithm for simulated aircraft

基于贝叶斯推理与蚁群算法的仿真飞行器航迹规划研究

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bayesian inference based on global message propagation

基于全局消息传播的贝叶斯推理

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and what it means is we really are bayesian inference machines.

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。

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

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。

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research on change-points in shanghai composite index based on bayesian inference

基于贝叶斯推断的上证指数突变点研究

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the neural inference model perform bayesian inference based on belief propagation algorithm.

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。

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proposed an algorithm using bayesian inference-pearls sampling method.

提出一种利用贝叶斯推理的算法-Pearls采样法。

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maximum power analysis based on bayesian inference and vector compression techniques

基于贝叶斯推理和向量压缩技术的最大功耗分析

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method of analysis of system reliability with bayesian inference

用贝叶斯统计推断进行系统可靠性分析的方法

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study on measuring model of operational risk applying bayesian inference

基于贝叶斯推断的操作风险度量模型研究

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a bayesian inference of measurement data of simple signal in dynamic measurement

动态测试中单次性信号测试数据的贝叶斯推断

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manmade carbon dioxide accounts for a bit more than one thousandth of global greenhouse effect.

人造二氧化碳对于地球温室效应的贡献是千分之一多一点。

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study on relationship between microcirculation dysfunction and live-yin deficiency

微循环障碍与肝阴虚证相互关系的研究

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effect of danggui injection on lymphatic microcirculation in acute microcirculation dysfunction of rats

当归注射液对急性微循环障碍大鼠淋巴微循环的影响

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present situation of microcirculation dysfunction in severe pancreatitis

急性胰腺炎微循环障碍的研究现状

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coronary microcirculation dysfunction participated in myocardial remodeling in rats with chronic heart failure

冠脉微循环障碍参与慢性心力衰竭大鼠心肌重构

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bayesian network is a new pattern classification graph model based on bayesian statistics, it is an intelligent tool that can integrate prior knowledge and sample information in classification and causality discrimination for data processing.

贝叶斯网络是在贝叶斯统计基础上发展起来的新的模式分类方法，它提供了一种可以同时利用先验知识和样本信息进行分类和判别因果关系的遥感数据处理工具。

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as one of the best classification methods, bayesian classifiers, being founded on bayesian statistics and bayesian networks, have strong ability of processing incomplete data, meaningful model and high precision.

在众多的分类方法中，贝叶斯分类方法因建立在贝叶斯统计学和贝叶斯网络基础上，能够有效地处理不完整数据，并且具有模型可解释、精度高等优点，而被认为是最优分类模型之一。

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there has been disputed about the basic theory and methods in statistics between bayesian school and classic statistics school.

贝叶斯学派和古典统计学派在统计的基础理论和方法上一直存在争议。

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