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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.
5
votes
1
answer
325
views
Non-central Wishart as mixture of central Wisharts?
The non-central chi-square distribution with $\nu$ degrees of freedom has a density which can be expressed as
$$
f(x) = \sum_{i=0}^{\infty} c_i f_{\nu + 2i}(x),
$$
where $c_i$ is a function of the non …
6
votes
1
answer
270
views
Sufficient conditions for establishing a total order on a family of probability distributions?
Let $\mathcal{X}$ be some set of independent random variables. Define the ordering on $\mathcal{X}$ by $X_i \prec X_j$ if and only if $\mathcal{P}\left\{X_i \le X_j\right\} \ge \frac{1}{2}$. Are there …
2
votes
0
answers
166
views
Slepian's Lemma for Range?
Let $\vec{x}$ and $\vec{y}$ be zero mean $n$-variate Gaussian variables with covariances $\Sigma^x, \Sigma^y$. Suppose they have identical marginals ($\sigma_{i,i}^x = \sigma_{i,i}^y$ for all $i$), an …
2
votes
0
answers
61
views
Second moment of ranks
Suppose vector $R$ is a random permutation of the integers
1 through $n$ such that
$$
\mathcal{P}\left(R_i = 1\right) = \pi_i,
$$
for given vector of probabilities $\pi$.
Moreover, assume a 'proport …
0
votes
1
answer
151
views
Can an unskewed distribution be expressed as product of a normal and another distribution?
Let $x$ be a continuous random variable with zero mean and zero skew. What are the conditions under which we can say that $x$ can be expressed as the product $z y$ where $z$ is a standard normal and $ …