条件期望与重期望
条件期望与重期望
条件期望的定义:
\(E(x|y)=\int_{-\infty}^{\infty}xf(x|y)dx\)(连续)
\(E(x|y)=\sum\limits_ix_i\rho(X=x_i|Y=y_i)\)(离散)
重期望的性质
\(1.E(E(g(x)|Y))=\int_{-\infty}^{\infty}E(E(g(x)|Y))f_{Y}(y)dy\)
=\(\int_{-\infty}^{\infty}[\int_{-\infty}^{\infty}g(x)f(x|y)dx]f_{Y}(y)dy\)
=\(\int_{-\infty}^{\infty}\int_{-\infty}^{\infty}g(x)f(x|y)f_{Y}(y)dxdy\)
=\(\int_{-\infty}^{\infty}\int_{-\infty}^{\infty}g(x)f(x|y)dxdy\)
=\(E(g(x))\)
\(2.E(h(y)g(x)|Y)\)