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Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

3 votes
1 answer
263 views

Bound on the distribution of a ratio involving Gaussian distributions

Let $U \sim \mathcal{N}(0, I_K)$ be a Gaussian vector of dimension $K$ and $V \sim \mathcal{N}(0,1)$, independent of $U$. Let $\Delta$ be a diagonal matrix with non-negative diagonal elements, $c\in\m …
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  • 197
2 votes

How to demonstrate a correlation inequality?

The inequality does not always hold. Let $D \sim$ Bernoulli$(p)$, independent of $Y$. Let $Y'$ and $Y''$ be two independent copies of $Y$ (also independent of $Y$). Let $X=D Y+(1-D) Y'$ and $Z=DY'' + …
bdx77's user avatar
  • 197
2 votes
1 answer
136 views

Comparison between $\|X\|_2$ and $\|X\|_{2,1}$

For any real random variable $X$, define $$\|X\|_{2,1}=\int_0^\infty \sqrt{\Pr(|X|>t)}dt.$$ This quantity (it is not a norm) appears in various problems, e.g. the multiplier central limit theorem (see …
bdx77's user avatar
  • 197
2 votes
1 answer
100 views

Inequality for Gaussian measures

Let $\mu$ denote a centered Gaussian measure on $\mathbb{R}^k$, $K=(-\infty, a] \times \mathbb{R}^{k-1}$ ($a\ge 0$) and $L=\mathbb{R}\times C$ where $C$ is a convex set in $\mathbb{R}^{k-1}$, symmetri …
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  • 197