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In probability and statistics, a probability distribution assigns a probability to each measurable subset of the possible outcomes of a random experiment, survey, or procedure of statistical inference.
5
votes
2
answers
921
views
Subgaussian norm of a symmetric $\{-1,0,1\}$ random variable
Let $p\in [0,1/2]$, and define $\xi$ as the symmetric random variable such that
$$
\xi = \begin{cases}
1 & \text{ w.p. } p\\
0 & \text{ w.p. } 1-2p\\
-1 & \text{ w.p. } p
\end{cases}
$$
so that $\math …
3
votes
Discrimination between set of binary distributions
One quick remark: the upper bound will be
$$
O\left(\min_j \frac{1}{H^2(p_j,q_j)}\right)
$$
where $H$ is the Hellinger distance, not TV (we have $H^2\lesssim TV \lesssim H$). The sample complexity of …
9
votes
1
answer
460
views
Bounds on the expectation of $|X-Y|$ for $X,Y$ Poisson
I would have a proof of the following fact; but it's a bit clunky, and am wondering if one can get a more elegant one (and/or improve the constants). I couldn't find this anywhere, and searching prope …
12
votes
0
answers
551
views
A measure of non-uniformity of a vector/probability distribution?
In the course of a research project about discrete probability distributions, my coauthors and I keep seeing some quantity appear, and I would like to understand whether it has been studied or has a c …
2
votes
1
answer
306
views
Distribution of a stopped random sum, with subexponential stopping time
I am trying to find a reference (or, if it's false, a counterexample) for the following sort-of-intuitive fact: if $\tau$ is a stopping time with a subexponential probability distribution, and $(X_n)_ …
1
vote
Inequality on the Hellinger distance between Poisson and mixture of Poisson
I have an indirect (but simple) proof, which relies on the chi-squared distance $\chi^2(p,q) = \sum_n \frac{(p(n)-q(n))^2}{q(n)}$ as a proxy, along with the fact that $H(p,q)^2 \leq 1\land \chi^2(p,q) …
3
votes
1
answer
419
views
Inequality on the Hellinger distance between Poisson and mixture of Poisson
Let $H$ denote the Hellinger distance; i.e., for two discrete distributions $p,q$ (identified with their pmf) over $\mathbb{N}$,
$$
H(p,q)^2 = \frac{1}{2}\sum_{n=0}^\infty \left(\sqrt{p(n)}-\sqrt{q(n) …
2
votes
1
answer
106
views
How to efficiently sample uniformly from the set of $p$-equipartitions of an $n$-set?
I have a question related to this one. For $n,p \in \mathbb{N}_+$ such that $p\mid n$, let $\mathcal{P}^{\rm eq}$ be the set of all equipartitions of $n$ in $p$ sets; i.e., in sets of equal size $\fra …
2
votes
0
answers
105
views
Distribution of weighted sum of non-central chi-squared r.v.'s: log-concave?
Let $n\geq 2$, and $X_1,\dots,X_n$ be independent non-central r.v.'s, where $X_i \sim \chi^2(\delta_i)$; and $w_1,\dots, w_n > 0$.
Letting $$X \stackrel{\rm def}{=} \sum_{i=1}^n w_i X_i$$ is it true …
9
votes
3
answers
2k
views
Reference on (discrete) log-concave probability distributions
A discrete distribution $p$ over $\mathbb{N}$ is said to be log-concave if it satisfies the following conditions:
The support of $p$ is a contiguous interval, i.e. $\exists a \leq b$ s.t. $p_i > 0$ i …