What is the translation of " COVARIANCE " in Chinese?

• 协方差
• covariance
• 协变

Examples of using Covariance in English and their translations into Chinese

Is the sample covariance matrix of the data.
其中是数据的samplecovariancematrix。

The scikit-learn provides an object covariance.
Scikit-learn提供了一个对象covariance.

The(i, j) element is the covariance between Xi and Xj.
矩阵中的第(i,j)个元素是Xi与Xj的协方差。

Financial Mathematics, Volatility and Covariance….
统计数学，covariance和correlation的区别，在金融….

To sum up, the covariance matrix defines the shape of the data.
总而言之，协方差矩阵界定了数据的形状。

To make progress, we need to construct the covariance matrix.
为了方便计算我们需要构建协方差矩阵。

Difference between Covariance and Correlation in M….
Covariance和correlation的区别，在金融里的意义是….

Another form of ANCOVA is MANCOVA(Multivariate Analysis of Covariance).
另一种形式的ANCOVA是MANCOVA（协方差的多变量分析）。

The eigenvalues of the covariance matrix can easily be shown to be.
这个协方差矩阵的特征值可以很容易地表示为.

Figure 3 illustrates how the overall shape of the data defines the covariance matrix:.
图3展示了数据的整体形状如何定义协方差矩阵：.

(Correlation is a kind of normalized covariance, with a value between -1 and 1.).
相关系数是标准化的协方差，范围在-1和1之间。

However, the covariance matrix does not contain any information related to the translation of the data.
但是，协方差矩阵不包含数据变换相关的任何信息。

Several generic interfaces and delegates now support covariance and contravariance.
有几种泛型接口和委托现在支持协变与反变功能。

Analysis of variance and covariance, multivariate ANOVA, repeated measures ANOVA.
方差与协方差分析、多元ANOVA、重复测量ANOVA.

One could be cynical and say that asset allocation has been the easiest game over the past 25 years because of the covariance structure.
人们可能会愤世嫉俗地说，由于协方差结构，资产配置是过去25年来最容易的游戏。

Both correlation and covariance are basically two concepts of mathematics which are widely used in statistics.
协方差和相关性是两个数学概念；这两种方法在统计学中被广泛使用。

Because eigenvectors trace the principal lines of force, and the axes of greatest variance and covariance illustrate where the data is most susceptible to change.
因为特征向量追踪到了主成分的方向，而最大方差和协方差的轴线表明了数据最容易改变的方向。

Covariance package aims at providing tools affording an accurate estimation of a population's covariance matrix under various settings.
Covariance包的目的是提供一个能在各种设置下准确估计总体协方差矩阵的工具。

In an earlier article, we showed that the covariance matrix can be written as a sequence of linear operations(scaling and rotations).
在另一篇文章中，我们表明协方差矩阵可以写为一系列线性操作（缩放和旋转）。

Covariance is a central work within the vast project Raphaël Dallaporta undertook about the historical relations and theoretical links between photography, science and space research.
Covariance”作品是RaphaëlDallaport在研究摄影、科学和太空里的历史和理论联系之中的核心项目。

However, the‘eigen' solver needs to compute the covariance matrix, so it might not be suitable for situations with a high number of features.
然而，该解决方案需要计算协方差矩阵，因此它可能不适用于具有大量特征的情况。

The covariance matrix will not only describe the shape of our distribution, but ultimately determines the characteristics of the function that we want to predict.
协方差矩阵不仅仅描述了这个分布的形状，也最终决定了我们想要预测的函数所具有的特性。

Since in LDA we assume that all classes have the same estimated covariance, we can rescale the data so that this covariance is the identity:.
因为在LDA中，我们假设所有类都具有相同的估计协方差，我们可以重新缩放数据，使得该协方差是身份：.

Equivariance(or“covariance,” the term that physicists prefer) is an assumption that physicists since Einstein have relied on to generalize their models.
等变（或“协变”，物理学家偏爱的术语）是自爱因斯坦以来，物理学家赖以推广其模型的假设。

(You might be able to guess that the covariance matrix is symmetric, which means that it doesn't matter if you swap i and j).
(你可能已经猜到协方差矩阵是一个对称矩阵，这意味着可以任意交换i和j)。

See Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood for an example on how to fit an OAS object to data.
参见Shrinkagecovarianceestimation:LedoitWolfvsOASandmax-likelihood：如何根据数据拟合出OAS对象。

High absolute values of the covariance mean that the values change very much and are both far from their respective means at the same time.
协方差的绝对值如果很大则意味着变量值变化很大并且它们同时距离各自的均值很远。

Sparse inverse covariance estimation: example on synthetic data showing some recovery of a structure, and comparing to other covariance estimators.
Sparseinversecovarianceestimation：人工数据，用来展示一个结构的部分修复，并与其他协方差估计进行比较。

Sparse inverse covariance estimation: example on synthetic data showing some recovery of a structure, and comparing to other covariance estimators.
Sparseinversecovarianceestimation:在合成数据上的例子显示了某种结构的恢复，并与其他协方差估计器进行了比较。

See Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood for an example on how to fit an EmpiricalCovariance object to data.
参见Shrinkagecovarianceestimation:LedoitWolfvsOASandmax-likelihood：如何根据数据拟合EmpiricalCovariance对象.