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1)  Gibbs Sampler Algorithm
Gibbs抽样算法
1.
There are many methods to discover motifs, and Gibbs Sampler Algorithm and EM Algorithm are considered to be the most effective and mature technology.
识别motif的方法很多,其中Gibbs抽样算法和EM算法是较为成熟和有效的方法。
2)  gibbs sampling iteration algorithm
Gibbs抽样方法
3)  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。
4)  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。
5)  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。
6)  Gibbs sampling
Gibbs抽样
1.
A multi-target s DOA estimation method based on Gibbs sampling;
一种基于Gibbs抽样的多点源DOA估计方法
2.
The odds ratio between disease and expose based on Bayesian theory was made through MCMC using Gibbs sampling.
方法构建病例对照研究的Bayes多项式分布模型,利用WinBUGS软件用Gibbs抽样的MCMC模拟技术估计疾病与暴露之间的优势比。
3.
Objective To study the method of Gibbs sampling in random effects model for meta analysis with application.
目的 探讨基于分层贝叶斯的随机效应模型meta分析的Gibbs抽样方法及其应用。
补充资料:验收抽样检验和监督抽样检验标准


验收抽样检验和监督抽样检验标准
standards for acceptance sampling and audit sampling inspection

  扣nshou ehoUVa叩Jianyan he iiandu eh以JYang iianyanbi0Ozhun验收抽样检验和监督抽样检验标准(stands记sfor accepteLnce sampling and audit saznpling Ins侧沈-tion)有关抽样检验的中华人民共和国国家标准至1卯8年已达20个。其中验收抽样检验标准有巧个,它们是:①《逐批检查计数抽样程序及抽样表》(GBIT2828一1987),②《周期检查计数抽样程序及抽样表》(G田T282乡一1987),③《不合格品率的计量抽样检查程序及抽样表》(GBIT6378一1986),④《计数序贯抽样检查程序及表》(GBZT8()5l一1987),⑤《单水平和多水平计数连续抽样检查程序及表》(CBIT 5052一1987