[数] 条件分布；条件分配
We obtain an explicit formulae for the conditional distribution laws of the state of the dynamical system with respect to the observed data.
本文讨论非线性随机离散系统状态估值问题的测度变换，推得系统的状态对于观测的条件分布律。
The probability properties of the output sequences of a multi-valued combiner with 1 digit memory are analyzed and the conditional distribution is investigated.
本文给出了带1位记忆多值组合生成器输出序列独立均匀分布的充要条件，并研究了序列的条件分布特性。
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).
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。
Secondly, the logarithmic form could overcome the defect of heteroskedasticity of the conditional distribution of normal variables.
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。
When the state process has Markov property, the recursive formulae for the conditional distribution density functions of filtering, prediction. and interpolation, are given respectively.
当状态过程具有马氏性时，还分别给出滤波、预测以及内插的条件分布密度函数的递推格式。
In this paper, we give a expand about a fuzzy measure, discuss a existence of a mix-conditional distribution on the fuzzy measure space.
给出一类模糊测度的扩张，并在此基础上讨论了这类模糊测度的混合分布的存在性问题。
The stochastic volatility(SV) model based on the mean conditional normal distribution is compared with that based on the conditional heavy_tailed distribution.
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。
At last the learning method for conditional probability distribution is investigated.
最后还提出了条件概率学习方法。
A conditional frequency distribution is a collection of frequency distributions, each one for a different condition.
条件频率分布是一系列的条件分布，每个都是不同的条件。
Established the conditional probability distribution of peak and volume and duration and drawn the conditional return period under given conditions;
建立了洪峰、洪量和历时的三变量条件概率分布，绘制给定条件下的条件重现期图。
The spectral parameters were predicted using the conditional probabilistic distribution function based on the pitch and were modified synchronizingly with the pitch using the sinusoidal model.
频谱参数的预测公式由各基频下的条件概率密度函数导出，频谱参数的修改通过正弦模型实现。
A discrete method for stochastic variable (features) space of class-conditional-probability density and estimation method for class-conditional -probability distribution is proposed.
本文提出了类条件概率密度随机变量（特征）空间离散化及类条件概率分布估计方法。
In the empirical study we also found the phenomenon of fat tail distribution, conditional variance and asymmetric variance of SH180 index return.
此外，在实证分析中，我们也发现并证实了上证180指数收益率存在“厚尾”分布、方差的时变性以及非对称性的风险特征。
In chapter VI, we try to explain the conditional convergence and income distribution of China by comparative advantage theory.
第六章从比较优势理论的框架出发，试图解释************增长中的条件收敛与收入分配问题。
A model for common cause failure probability was derived based on the distribution of the conditional failure probability of components.
推导了基于零件条件失效概率分布的共因失效概率模型；
In this paper, an effective new way has been proposed to depict the bivariate life distribution based on conditional failure rate functions.
该方法利用模式序列中的失效函数计算得到失效链接值，也就是当前一位置匹配失败后，下一次匹配开始的位置。
We find that FDI distribution in China is conditional convergent with spatial interdependence and spatial spillover effect makes FDI diffuse from the core to the peripheral area.
计量结果发现，集聚效应对于吸引我国FDI有着很大程度的影响，相邻省份之间的空间溢出效应促使FDI更多的是由核心省份向周边省份扩散。
Because the nonparametric ACD model does not rely on the functional form of(conditional) mean value and the error distribution form, it has more typical implication.
非参数ACD模型不依赖条件均值的函数形式和误差项的分布形式，更具有一般意义。
An effective new way has been proposed to define the joint life distribution of a system with n components and the multivariate life distribution can be depicted by conditional failure rate functions.
当在分析一个有若干部件组成的系统的联合分布时，系统的多维寿命分布不易把握，由于条件失效率函数有很好的直观意义且易获得，用条件失效率函数去刻画寿命分布是一种有效的新途径。
A double forecasting model is proposed by using conditional mathematical expectation, based on probability distribution of port cargo throughput.
在得出港口货物吞吐量概率分布的基础上，利用条件数学期望提出了港口货物吞吐量的双层预测模型。
The result shows that the population distribution of China has a weak conditional convergence from 1964 to 1992, but it shows a regional divergence from 1992 to 2003.
研究结果表明，1964-1992年，中国人口空间分布呈现比较弱的条件收敛性；1992-2003年，中国人口空间分布则存在着明显的区域发散现象。
Based upon the theories of conditional indicator simulation, an approach for predicting the distribution of rocks with different permeability categories is presented.
根据指示条件模拟的基本原理，提出了建立渗透率空间分布模型的三维指示条件模拟方法。
A key distribution scheme based on elliptic curve cryptography for Conditional Access System(CAS) in Digital TV broadcast is proposed.
针对数字电视有条件接收系统中的密钥分配，提出了一种基于椭圆曲线密码的分层访问控制密钥分配方案。
With the combination of Bayes Indicator Conditional Simulation method and Sequential Gaussin Simulation method, the distribution of reservoir heterogeneity has been predicted.
采用贝叶斯指示条件模拟和序贯高斯模拟方法结合建立储层参数模型，很好地预测了储层非均质性展布。
This paper proposed a new key distribution algorithm based on hierarchical access control for conditional access system in digital television broadcast.
其中，分级访问控制技术被用来分配频道的授权密钥，而中国剩余定理被用来为用户分配组密钥。
The temperature and its field distribution and the heat dissipation through gearbox case are conditional on each other in computation, thus ****** the computation much more difficult.
通过齿轮箱的情况下的温度和它的字段分布和散热条件的每一个其他的在计算上，从而使计算变得更加困难。
The shape changing feature of conditional distributions makes the HMDAR model capable of modeling time series with asymmetric or multimodal distribution.
HMDAR模型分布形式的灵活性使得它能够对具有非对称或多峰分布的序列进行建模。
The varied feature of conditional distributions makes the HMDAR model capable of modeling time series with asymmetric or multimodal distribution.
HMDAR模型分布形式的灵活性使得它能够对具有非对称或多峰分布的序列进行建模。
条件分布（conditional distribution）是概率论与统计学中的核心概念，指在已知某一随机变量或事件发生的条件下，另一随机变量的概率分布。它描述了变量间的依赖关系，广泛应用于回归分析、贝叶斯推断和机器学习等领域。
假设存在两个随机变量(X)和(Y)，在给定(X = x)的条件下，(Y)的条件分布可表示为： $$ P(Y = y mid X = x) = frac{P(X = x, Y = y)}{P(X = x)} $$ 其中，分子为联合概率，分母为边缘概率。若(X)和(Y)为连续型变量，则用概率密度函数替换概率质量函数。
条件分布（conditional distribution）是概率论与统计学中的重要概念，用于描述在已知某些条件下，随机变量的概率分布情况。以下是详细解释：
条件分布指在给定另一个随机变量或事件发生的前提下，某个变量的概率分布。例如，若随机变量 (X) 和 (Y) 存在联合分布，则当已知 (X = x) 时，(Y) 的条件分布表示为 (P(Y mid X = x))（离散型）或 (f_{Y mid X}(y mid x))（连续型）。
离散型变量：条件概率定义为
$$P(Y = y mid X = x) = frac{P(X = x, Y = y)}{P(X = x)}$$
其中分母 (P(X = x) > 0)。
连续型变量：条件密度函数为
$$f{Y mid X}(y mid x) = frac{f{X,Y}(x, y)}{f_X(x)}$$
其中 (f_X(x)) 是 (X) 的边缘密度函数。
条件期望与方差
条件分布的均值称为条件期望 (E(Y mid X = x))，方差则反映在已知 (X) 时 (Y) 的不确定性。例如，线性回归中的预测值本质上是条件期望。
与联合分布的关系
条件分布与联合分布通过乘法公式关联：
$$P(X, Y) = P(Y mid X) cdot P(X)$$
这在贝叶斯定理中尤为重要，用于计算后验分布（一种条件分布）。
典型例子
条件分布在数据分析、机器学习和因果推断中广泛应用。例如：
通过理解条件分布，可以更精准地建模变量间的依赖关系，从而进行统计推断或预测。
【别人正在浏览】