1) Gibbs sampling
Gibbs取样
1.
Then the value of the missing data is draw according to the Gibbs sampling.
该方法首先用Kullback-Leibler(KL)散度来表示同一结点的各个案例之间的相似程度,然后根据Gibbs取样来得出丢失数据的取值。
2.
The parameters of the model are estimated via software package BUGS (Bayesian inference using Gibbs Sampling).
对具有杠杆效应的 SV模型进行了的贝叶斯分析 ,使用基于 Gibbs取样的 BUGS软件对模型的参数进行了估计。
2) Gibbs sampler
Gibbs抽样
1.
The Studies on Unit Root Test on Structural Changes Series with Small Samples Using GIBBS Sampler
具有结构突变的小样本GIBBS抽样单位根检验方法研究
2.
Marginal posterior densities of all parameters are estimated using Gibbs sampler.
方法根据Bayesian参数估计原理,利用Gibbs抽样方法得到后验密度估计。
3.
Gibbs sampler is used, and the iterative steps of estimation of two unknown parameters are proposed.
本文利用Gibbs抽样法求一阶双重时间序列模型的参数的估计。
3) Gibbs sample
Gibbs抽样
1.
Methods We construct a markov chain base on Gibbs sample,with the property of the chain,the parameters of Down s syndromes screening test in china are evaluated.
方法采用Gibbs抽样方法构造markov链,估计唐氏综合征筛查试验的参数。
2.
A new combined forecasting in this paper was introduced,which was on the basis of Bayesian analysis,Experts experience,MCMC,Gibbs sample and real-time emendation function.
针对历史洪水数据不丰富的流域难于利用多种水文组合预报模型进行洪水预报的现状,构建了以贝叶斯分析为基础,同时结合专家经验、马尔科夫蒙特卡洛模拟、Gibbs抽样法,并引入实时校正的组合预报模型。
3.
Then Markov Chain Monte Carlo algorithm procedures with Gibbs sampler and Metropolis-Hastings sampler were designed to estimate the models\' parameter through matlab software, in which the sample are Shanghai composite index and Shenzhen composite index.
首先,根据贝叶斯理论对SV族模型中的基本SV模型,厚尾SV模型(SV-T模型),杠杆SV模型进行贝叶斯分析,计算出每个模型中参数的后验分布密度函数,然后,以上证综指和深证成指的指数序列作为样本值,构造基于Gibbs抽样和Metropolis-Hastings抽样的MCMC方法过程,利用matlab软件计算出各模型中的参数值。
4) Gibbs sampler
Gibbs抽样器
1.
Under conditionally conjugate priors, a Gibbs sampler to estimate the Bayesian estimation of ELES is derived, and the approach is illustrated with the data of China′s living expenditure of urban households in 1999.
研究了线性支出系统的贝叶斯估计,提出了似然函数的三种等价形式,在条件共轭先验的假设下,推导了该系统贝叶斯估计的Gibbs抽样器,并用我国1999年城镇居民家庭支出数据进行了计算。
5) Gibbs sampling
Gibbs采样
1.
Mobile robot simultaneous localization and mapping based on particle filtering with fixed-lag Gibbs sampling;
基于固定滞后Gibbs采样粒子滤波的移动机器人SLAM
2.
Based on IMM,a polished Gibbs sampling algorithm has been developed in this work to detect the regulatory elements.
本研究将内插马尔可夫模型引入Gibbs采样算法,识别基因上游序列中的调控元件。
3.
For getting posterior probability,the approximate reasoning(Gibbs sampling) was used,then the arithmetic analysis and experiment results of approximate reasoning were given,the method was proved to be feasible.
用规范概念的计算规则进行区间概率的计算,用Gibbs采样的近似推理法对带区间参数的贝叶斯网进行近似推理,计算后验概率。
6) Gibbs sampler
Gibbs采样
1.
A group-blind multiuser detection technique based on Gibbs sampler;
基于Gibbs采样的群盲多用户检测技术
补充资料：excess Gibbs free energy
分子式：
CAS号：
性质：由纯组分形成真实溶液时的吉布斯自由能变化，与相同温度、压力和组成条件下形成理想溶液时的吉布斯自由能变化之差，称为过量吉布斯自由能(或过量自由能)。通常用符号GE表示。在低压下，溶液的过量吉布斯自由能是温度和组成的函数。过量吉布斯自由能在溶液理论及相平衡等的研究中均有重要意义。
CAS号：
性质：由纯组分形成真实溶液时的吉布斯自由能变化，与相同温度、压力和组成条件下形成理想溶液时的吉布斯自由能变化之差，称为过量吉布斯自由能(或过量自由能)。通常用符号GE表示。在低压下，溶液的过量吉布斯自由能是温度和组成的函数。过量吉布斯自由能在溶液理论及相平衡等的研究中均有重要意义。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条