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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
2
answers
374
views
The law of large numbers for diverging moments [closed]
I have a random variable $X$ whose first and second moments are given as
$$
E[X] \propto C_n^{1-a},\quad E[X^2] \propto C_n^{2-a}\quad (0 < a < 1),
$$
where $C_n$ satisfies
$$
\lim_{n\to\infty} C_n = …
3
votes
1
answer
866
views
Weak law of large numbers for triangular arrays
Let $X$ be a random variable with $E[X] = \mu < \infty$.
For $n=1,2,\dots$, construct a triangular array of random variables as
\begin{equation}
Y_{n,i} = X_i \frac{\sqrt{\mu}}{\sqrt{\sum_{j=1}^n X_ …
0
votes
1
answer
2k
views
Bounded convergence for expectation of random variables [closed]
I have a random variable $X$ defined on $(0,\infty)$. For each $n\in \mathbb N$,
define $X_n = X \mathbf{1}_{0 < X \leq C_n}$, where $C_n$ is a monotonically increasing sequence of positive numbers su …
1
vote
0
answers
1k
views
Convergence of probability generating function implies convergence in distribution
Let $\{X_n\}_{n\in \mathbb{N}}$ be a sequence of nonnegative discrete random variables, and $X$ be a nonnegative discrete random variable. The probability generating function $\psi_X(z)=\sum_{k=0}^\in …
1
vote
0
answers
56
views
Law of large numbers for a sequence of random variables with converging moment
Let $\{X_n\}_{n=1}^\infty$ be a sequence of random variables such that,
$$
\forall n,\,\,\mu_n := EX_n < \infty, \quad \mu_n \to \mu < \infty \textrm{ as } n\to\infty.
$$
Now for each $n$, let $X_{n …