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中文题目
题目631 · 概率

Terminal-Variable Projection 1

Let X_1, X_2, X_3, X_4 be iid symmetric ±1 variables with natural filtration F_n. Define Y = 1{X_1+X_2+X_3 >= 2} and M_n = E[Y | F_n]. Is (M_n) a martingale?

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题目632 · 概率

Terminal-Variable Projection 2

Let X_1, X_2, X_3, X_4 be iid symmetric ±1 variables with natural filtration F_n. Define Y = 1{X_1+X_2+X_3+X_4 = 0} and M_n = E[Y | F_n]. Is (M_n) a martingale?

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题目633 · 概率

Terminal-Variable Projection 3

Let X_1, X_2, X_3, X_4 be iid symmetric ±1 variables with natural filtration F_n. Define Y = 1{max(X_1,X_2,X_3) = 1} and M_n = E[Y | F_n]. Is (M_n) a martingale?

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题目634 · 概率

Terminal-Variable Projection 4

Let X_1, X_2, X_3, X_4 be iid symmetric ±1 variables with natural filtration F_n. Define Y = X_1+X_2+X_3+X_4 and M_n = E[Y | F_n]. Is (M_n) a martingale?

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题目635 · 概率

Terminal-Variable Projection 5

Let X_1, X_2, X_3, X_4 be iid symmetric ±1 variables with natural filtration F_n. Define Y = (X_1+X_2+X_3)^2 and M_n = E[Y | F_n]. Is (M_n) a martingale?

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题目2919 · 概率

The Standard Branching Martingale

Let $m>0$ be the offspring mean in a Galton-Watson process. Show that \[ M_n=\frac{Z_n}{m^n} \] is a martingale with respect to the natural filtration.

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