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原
期望、方差、协方差和协方差矩阵
1.离散随机变量的X的数学期望：
E ( X ) = ∑ ∞ k = 1 x k p k E ( X ) = ∑ k = 1 ∞ x k p k E ( X ) = ∑ k = 1 ∞ x k p k E(X)=∑∞k=1xkpkE(X)=∑k=1∞xkpk E(X) = \sum_{k=1}^{\infty}x_kp_k E(X)=∑∞k=1xkpkE(X)=∑k=1∞xkpkE(X)=k=1∑∞xkpkρXY=0, 两个变量不相关
四、协方差矩阵
推广到多维：
对于连续的情况：
例子：
可以参考下面的博客：
详解协方差与协方差矩阵：期望、方差、协方差、协方差矩阵
参考： 概率论与数理统计 浙大
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苏州桥房产抵押额度高达千万，先息后本 厚泽金融 · 顶新
协方差矩阵计算方法
11-09 阅读数 1
1.协方差定义X、Y是两个随机变量，X、Y的协方差cov(X,Y)定义为：其中： 、2.协方差矩阵定义矩阵中的数据按行排列与按列排列求出的协方差矩阵是不同的，这里默认数据是按行排列。即每一行是一个ob… 博文 来自： Mr_HHH的博客
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