Monthly Archives: February 2017

Portmanteau Theorem

Statement: XnDX iff E[g(Xn)]E[g(X)] for any bounded, continuous Lipschitz g. We prove this in two parts: Part 1 Here we show XnDX implies E[g(Xn)]E[g(X)] for any continuous bounded g. Let Fn denote the cdf … Continue reading

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Uniqueness of Laplace transform

Statement: Let Lf(t)=0f(x)etxdx. Then if f(x)=o(eax) for some a>0, Lf=Lg implies f=g. Proof: By linearity of the integral, this is equivalent to showing Lf=0 implies $f = … Continue reading

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Strong Law of Large Numbers

Truncation Lemma Statement: Let Xn be a sequence of IID variables with finite mean, and let Yn = XnI|Xn|n. Then Var(Yn)n2<. Proof: Lemma: If c0, then $c^2 \sum_{n=1}^\infty \frac{I_{|c| \leq n}}{n^2} \leq 1 … Continue reading

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Convergence theorems

Monotone Convergence Theorem Statement: Suppose we have a sequence of non-negative functions fn that converges almost everywhere to f on some set D on a measure space. Then limDfndμ=Dfdμ. Proof: Since the sequence of … Continue reading

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Kolmogorov’s Inequality

Statement: Let Xi be independent random variables with mean 0, finite variance and Sn=X1++Xn. Then P(max1in|Si|a)1a2Var(Sn). Note that Chebyshev’s inequality already … Continue reading

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