条件分布

该文从条件分布向量序列出发研究离散时间的PhaseType分布的逆问题。

The paper studies the inverse problem of discrete time phase-type distribution from the conditional distribution vector sequence .

与传统Kalman滤波产生单个条件分布不同，这里的集值滤波给出一个条件分布的凸集。

Rather than propagating a single conditional distribution as does conventional Kalman filtering , a convex set of conditional distributions is provided by the set-valued filtering .

方法在分层贝叶斯框架下，推出随机效应模型meta分析参数的完全条件分布。

Methods The full conditional distributions of parameters in Gibbs sampling for meta analysis based on random effects model is derived .

假设灰度直方图服从正态分布且二个子分布的方差相等，基于条件分布的最大相关原则等价于Otsu阈值分割方法。

It has been proved that the maximization of the likelihood of the conditional distribution of the conditional distribution of the population mixture model under the assumption of Normal distributions with a common variance is equivalent to Otsu 's thresholding .

本文给出了样本均值随机加权估计的条件分布以概率（几乎处处）收敛到正态分布的充要条件为X1属于正态吸收域D（2）（E（X~21）＜∞）；

In this paper , we show the necessary and sufficient condition for convergence in probability ( a.s. ) of the distribution function of a random weighting mean is that the sampling comes from the domain of attraction of normal distribution ( EX ~ 2_1 < ∞) .

ACD模型主要用于模拟交易之间的时间间隔，其建模思想是在过去事件基础上，基于不等时间间隔，创建该模型的目的是为了分析交易持续期的条件分布。

The ACD model is mainly used for the time interval between the simulated trading , its modeling idea is based ranging interval in the past events on the basis to create the model , the purpose of analysis of transaction duration of the conditional distribution .

由于需要估计参数的满条件分布并不是某个确定函数的分布形式，本文采用随机游动的M-H（Metropolis-Hastings）算法对参数进行抽样，并选择了一种自适应的算法来寻找合适的建议分布方差。

Based on the full conditional distributions of the parameters are not in well known forms , the parameters are then sampled via Random Walk M-H ( Metropolis-Hastings ) algorithm , and choose an adaptive algorithm to find the right proposal distribution variance .

条件分布理论在织物力学因子分析中的应用

Application of the Conditional Distribution Theory in Mechanical Analysis of Fabrics

泊松过程中到达时刻条件分布的推广

Generalization of the Condition Distribution of the Poisson Process Arrival Time

到达时间条件分布在风险理论中的一个应用

The conditional distribution of the arrival time in application of risk theroy

非线性离散系统状态估值的条件分布密度函数

Conditional Distribution Density Functions for the State Estimation of Nonlinear Discrete-time Systems

基于二维指数条件分布的加速寿命模型

Accelerated Life Model Based on Bivariate Exponential Conditional Distributions

提出了条件分布信息量属性约简算法。

Attribute reduction based on conditional distribution information quantity .

多重随机变数，联合与条件分布，独立，共变异与共相关。

Multiple Random Variables , Joint and Conditional Distributions , Independence , Covariance and Correlation .

其次，对数形式，可以缓解正变量条件分布具有异方差的缺点。

Secondly , the logarithmic form could overcome the defect of heteroskedasticity of the conditional distribution of normal variables .

此外本文还提出和论述了对于径流条件分布函数成果合理性的验证方法。

In this paper a technique is presented for testing the results of conditional probability distributions of the stream runoff .

这类先验分布以条件分布形式给出，它适合可靠性增长试验中的各种情况。

The proposed prior is of conditional form , which can accord well with various actual situations in reliability growth tests .

经与国内外已发表的其它预测方法比较，基于条件分布的可靠性增长预测模型具有较高的预测精度。

Reliability growth prediction model based on conditional distribution had higher prediction accuracy compared with other prediction methods published at home and abroad .

利用一种条件分布联合概率方法分析设计水位与校核水位；

A joint probability method with conditional distribution is used to calculate the design water level and check water level when sea level rises ;

对均值条件分布为正态分布的随机波动性模型与条件厚尾分布的随机波动性模型进行了比较分析。

The stochastic volatility ( SV ) model based on the mean conditional normal distribution is compared with that based on the conditional heavy_ tailed distribution .

声波阻抗参数直接反映油气储层物性，能用于预测储层空间和储集条件分布。

As a parameter directly reflecting the petrophysical property of reservoir , the acoustic impedance can be used for predicting reservoir space distribution and storage conditions .

并且进一步证明了当样本具有缓慢变化的尾时，样本均值随机加权估计之条件分布以概率收敛到非退化分布。

Further , we show that when X1 is slowly varying , the distribution of random weighting estimate of the mean converges in probability to nondegenerate distribution .

提出了研究弹目交会条件分布规律的必要性，阐述了空空导弹六自由度弹道仿真数学模型。

This paper puts forwards the necessity of researching on the distributing law of the missile-target encounter conditions , states the mathematical model of the six-dimension ballistic simulation .

由于模型参数的后验条件分布没有确定的分布形式，通过数据扩充得到参数的完全条件分布从而实现模型参数的贝叶斯估计。

The models were estimated via Gibbs sampler with data augmentation by a mixture of standard exponential distribution and standard normal distribution to represent the asymmetric Laplace distribution .

它是根据测量的数据推导未知变量的条件分布函数，也就是后验概率密度函数，而热传导反问题的数值解就是后验概率密度函数的数学期望。

The primary of Bayesian estimation is to deduce the conditional distribution function of unknown variables on the data , which is also called posterior probability density function ( PPDF ) .

同时，本文给出了两利，具体的模型来详细地阐述该模型的思想，得到了已观测到的赔款下的未决赔款的条件分布。

At the same time , this paper presents two specific models to describe the thought of the model , and get the individual outstanding claims distribution under the observed claim data .

以液滴尺寸分布为边缘分布，抛射初速度为条件分布，得到了描述液滴群体运动特征的概率统计模型。

A probability model of the movement characteristic of the droplet population has been proposed with the droplet size distribution being taken as marginal distribution and the initial velocity distribution as conditional distribution .

本文在灰度直方图服从泊松分布的假设下，运用条件分布的最大相关原则提出了一种新的图象分割方法。

A new thresholding method is proposed in this paper , which is deduced by the maximization of the likelihood of the conditional distribution of the population mixture model under the assumption of Poisson distributions .

这意味着，在收益率的条件分布同时存在非对称和尖峰、厚尾特征时，对称厚尾分布假设下模型的预测绩效可能不如正态分布。

This implies that the performance of volatility prediction conditional on normal distribution may be better than that conditional on other symmetric and heavy tailed distributions when the data is both asymmetric and heavy tailed .

当变换是参数时，求出了似然估计的显示解并证明了其强相合性，同时讨论估计的条件分布。

When the transformation is parametric , we obtain the show resolution of the likelihood estimation and prove the strong consistency of the likelihood estimation . Later we discuss the condition distribution of the likelihood estimation .