NISHIO Hirokazu[Translate]
和の期待値は期待値の和
E[X+Y] = E[X] + E[Y]
E\left[\sum_i X_i\right] = \sum_iE[X_i]

証明
E[X + Y] = \sum_x\sum_y (x + y) P(X=x, Y=y) ... 期待値の定義
= \sum_x\sum_y x P(X=x, Y=y) + \sum_x\sum_y y P(X=x, Y=y) ... 足し算の順序の変更
= \sum_x x \sum_y P(X=x, Y=y) + \sum_y y \sum_x P(X=x, Y=y) ... 定数の括りだし
= \sum_x x P(X=x) + \sum_y y P(Y=y) ... 周辺化
= E[X] + E[Y] ... 期待値の定義


\#\{x\in X | f(x) \} = \sum_{x\in X} [f(x)]

E_Y\left[\sum_{x\in X} [f(x, y)] \right] = \sum_{y\in Y}\sum_{x\in X} [f(x, y)]p(Y=y) = \sum_{x\in X} E_Y[[f(x, y)]]
これは周辺化してないな…



"Engineer's way of creating knowledge" the English version of my book is now available on [Engineer's way of creating knowledge]

(C)NISHIO Hirokazu / Converted from [Scrapbox] at [Edit]