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bayes估计     
相关语句
  bayes estimation
    The paper considers how to calculate VaR(Value at Risk) by using Bayes estimation, and analyze to use method of Extreme Value Theory calculate VaR when we use Bayes estimation.
    初步研究了用Bayes估计计算金融风险值VaR,同时阐明了运用极值理论方法在Bayes估计下的金融风险值计算。
    Bayes Estimation with ε-insensitive Loss
    ε-不敏感损失函数下的Bayes估计方法
    Calculating Value at Risk by using Bayes Estimation
    利用Bayes估计计算金融风险值VaR
    What’s more, we also use MCMC algorithm in order to calculate parametric Bayes estimation.
    并且借助统计计算方法—MCMC算法来求解参数的Bayes估计,有效的将Bayes思想融入到了VaR的计算中。
  bayesian estimation
    Bayesian Estimation of Long Memory Models and it's Application to Exchange Rates
    长记忆模型的Bayes估计及其在汇率波动中的应用(英文)
短句来源
    (3) Following standard practice in Bayesian analysis of stochastic frontiers, we treat the management components as parameters, based on one method of MCMC -Gibbs sampling, under the assumption of different distributions of management components, and infer the Bayesian estimation of common stochastic frontiermodels and the stochastic frontiers with random coefficients. Also we provide the Bayesian estimation of stochastic frontier models with coefficients distributes according to special multiply normal.
    (3) 采用将管理偏差先看作参数进行参数扩张的一般对随机前沿面的Bayes估计方法,基于MCMC方法中的Gibbs抽样,在假定管理偏差为不同分布时,详细推导了一般随机前沿面模型和随机系数的随机前沿面模型的Bayes估计方法,并给出了随机系数服从特殊的多元正态分布的情形下,随机系数的随机前沿面模型的Bayes估计的算法。
短句来源
  bayes estimate
    Suppose that the distributed subscription certificates are numbered 1, 2, …, N,this paper gives the maximum likelihood estimate、 uniformly minimum variance unbiased estimate and Bayes estimate of the total disrtibuted amount of subscription certificates.
    利用发行的认购证有编号1,2,……,N,,本文通过随机抽取的几个认购证号码,给出了认购证发行总数的最大似然估计,一致最小方差无偏估计和Bayes估计
短句来源
    In this article, we study the Bayes estimate with 蔚- insensitive loss. Especially for the mean of a normal distribution, we give a numerical solution with optimal method.
    本文研究了基于ε-不敏感损失函数的Bayes估计方法,结合正态总体的均值估计问题,通过最优化方法给出了ε-不敏感损失函数下Bayes估计的求解方法。
  bayesian estimators
    In the method, we give the posterior distributions and the Bayesian estimators of the parameters by use of the property of the x2 distribution and t distribution.
    文章利用x2分布与t分布的性质找出了变点的位置,并给出了未知参数的后验分布及其Bayes估计.
    This paper first introduces the famous Laplace formula used in integral approximation, and then uses it in the Bayesian statistical analysis. It successfully gives the Bayesian estimators and posterior distributions of the parameters for Weibull progressive stress accelerated life testing.
    本文介绍了积分近似计算中的著名的Laplace公式,并将它应用到Bayes统计分析,成功地给出了CE模型下Weibull分布序进应力加速寿命试验参数的Bayes估计及后验密度函数.

 

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      bayes estimation
    The asymptotically optimal empirical bayes estimation in multiple linear regression model
          
    Empirical Bayes estimation of the parameter vector θ=(β',σ2)' in a multiple linear regression modelY=Xβ+ε is considered, where β is the vector of regression coefficient, ε∽N(0,σI with σ2 unknown.
          
    In this article, Bayes estimation of location parameters under restriction is brought forth.
          
    Individual Prior Information in a Physiological Model of 2H8-Toluene Kinetics: An Empirical Bayes Estimation Strategy
          
    Two measures of the influence of the prior distribution p(θ) in Bayes estimation are proposed.
          
    更多          
      bayesian estimation
    Consideration was given to the Bayesian estimation in the multidimensional indefinite-stochastic observation model using the minimax criterion with the generalized probabilistic risk functionals.
          
    In the first case, nonlinear regression analysis is used in combination with successive Bayesian estimation.
          
    The map is represented by an occupancy grid framework and updated by the Bayesian estimation mechanism.
          
    A Bayesian estimation framework was chosen to build up a regularization scheme based on the weak membrane model.
          
    Dynamic Bayesian estimation of displacement parameters of continuous curve box based on Novozhilov theory
          
    更多          
      bayes estimate
    Bayes estimate of the probability of exceedance of annual floods
          
    In this paper Lindley's Bayesian approximation procedure is used to obtain the Bayes estimate of the probability of exceedence of a flood discharge.
          
    Having decided the prior, the Bayes estimate or the posterior mean is used mainly here in addition to the posterior mode.
          
    A generalized Bayes estimate is derived from a three-stage Bayes point of view under the asymmetric loss function, and the admissibility of such estimators is proved.
          
    The simulation result shows as improvement of the Bayesian estimate over the empirical Bayes estimate in some situations.
          
    更多          
      bayesian estimator
    The Bayesian approach is applied to this problem and, using Monte Carlo simulation to search over the integer candidates, a practical expression for the Bayesian estimator is obtained.
          
    Subsequently, these parameters were used by the Bayesian estimator to calculate individual pharmacokinetics from only 2 or 3 measured concentrations.
          
    The comparison of results obtained from the Bayesian estimator and from the three-compartment model showed that CL and t1/2 were well predicted (relative deviation: ±12 to 22%) by the Bayesian method using only two blood samples.
          
    Relative estimation errors of the obtained empirical Bayesian estimator are very small - they do not exceed 2.5%.
          
    A Bayesian estimator, based on the Gibbs sampling, is proposed.
          
    更多          
      其他


    Suppose that the distributed subscription certificates are numbered 1, 2, …, N,this paper gives the maximum likelihood estimate、 uniformly minimum variance unbiased estimate and Bayes estimate of the total disrtibuted amount of subscription certificates.

    利用发行的认购证有编号1,2,……,N,,本文通过随机抽取的几个认购证号码,给出了认购证发行总数的最大似然估计,一致最小方差无偏估计和Bayes估计

    We introduce long memory model and it's test methods.By means of Bayesian principle,we propose a new method for the estimate of the memory parameter.Based on a rather heuristic method proposed by Teverovsky/Taqqu (1997),we illustrate the existing of long memory in the volatility of daily US Dollar/China R.M.B.exchange rate series by using the new approach and comparison of GPH-estimator and the Bayes-estimator is shown by empirical study.

    本文介绍了长记忆模型及其检验方法,根据Bayes原理,提出了记忆参数的一种新的估计方法.在运用Teverovsky/Taqqu(1997)年提出的一种基于样本方差的直观方法的初步检验基础上,运用新的检验方法,以美元对人民币汇率为研究对象,说明了我国汇率波动的长记忆性.然后,将经典的GPH-估计与新方法所得出的Bayes-估计相比较,可以看出这种新的估计方法较之经典的GPH-估计要稳定.

    >=ε-insensitive loss function, which was introduced by Vapnik first, acts an important role in the support vector machine method. In this article, we study the Bayes estimate with 蔚- insensitive loss. Especially for the mean of a normal distribution, we give a numerical solution with optimal method. Random imitation shows that this method is feasible.

    ε-不敏感损失函数是Vapnik提出的一种损失函数,它在建立支持向量机方法中起了关键作用。本文研究了基于ε-不敏感损失函数的Bayes估计方法,结合正态总体的均值估计问题,通过最优化方法给出了ε-不敏感损失函数下Bayes估计的求解方法。随机模拟表明,上述估计方法是可行的。

     
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