3.II.24 J3 . \mathrm{II} . 24 \mathrm{~J} \quad

Probability and Measure | Part II, 2008

(i) What does it mean to say that a sequence of random variables (Xn)\left(X_{n}\right) converges in probability to XX ? What does it mean to say that the sequence (Xn)\left(X_{n}\right) converges in distribution to XX ? Prove that if XnXX_{n} \rightarrow X in probability, then XnXX_{n} \rightarrow X in distribution.

(ii) What does it mean to say that a sequence of random variables (Xn)\left(X_{n}\right) is uniformly integrable? Show that, if (Xn)\left(X_{n}\right) is uniformly integrable and XnXX_{n} \rightarrow X in distribution, then E(Xn)E(X)\mathbb{E}\left(X_{n}\right) \rightarrow \mathbb{E}(X).

[Standard results from the course may be used without proof if clearly stated.]

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