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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
Probability of $\operatorname{Bin}(n,p)=\operatorname{Bin}(n,q)$ is decreasing when $n$ incr...
Here is a proof which also shows the exponential decay in $n$ for $p\neq q$
Let $0<p,q<1$ and $B_{n,p},B_{n,q}$ independent $\mathrm{Binomial}(n,p)$ resp. $\mathrm{Binomial}(n,q)$ distributed random v …
3
votes
Grouping lists together in a proportional election: image of a Dirichlet distribution by the...
Here is a way. Start from the exact form of your integral expression (i.e. supply the "Dirichlet factor" $\frac{\Gamma(\alpha_1+\ldots+\alpha_n)}{\Gamma(\alpha_1)\cdots\Gamma(\alpha_n)})$.
(1) Writing …
5
votes
Accepted
Expected number of compositions needed to get constant function
This question was completely settled by J.A. Fill here:
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.641
5
votes
Average distance of the mean of $n$ random complex numbers in a unit disc
Here is another method.
Since the uniform distribution on the unit disk is rotationally symmetric (invariant under orthogonal transformations), the problem can be reduced to a random walk problem in $ …
3
votes
Accepted
Bounding the max-loaded bin using${m \choose k} \|A\|_k^k$
The following inequality holds:
$$\mathbb{P}(C_k(m)\geq 1)\geq \mathbb{P}(\mathrm{Bin}(m, \lVert A\rVert_k)\geq k)$$
where here and in the sequel $\mathrm{Bin}(n,p)$ denotes a binomially distributed r …
0
votes
The min of the mean of iid exponential variables
(Since you are looking for a reference, I turn my comment above into an answer:)
A proof using classical fluctuation theory is given my answer to
Expected supremum of average?
(I'm not aware that this …
0
votes
Coupon collector targeting a collection among many
There a well known generating function methods (the ''symbolic method'' and ''Poissonization'') which can be used to deal with this kind of question.
However, I am unable to point to a reference for …
8
votes
Expected supremum of average?
Here is an "arbirarily nice" example with closed form results.
Let $X_1,X_2,\ldots$ be i.i.d. real random variables with partial sums $S_k:=\sum_{i=1}^kX_i$ and let $M_n:=\sup_{k\leq n} \frac{S_k}{k} …
6
votes
Probability of getting exactly one head and $k$-wise independence
Here is a solution for even $k\leq d$.
I. A lower bound for even $k$.
Simple lower bound (for $k$ even) follows from standard combinatorics of events
and Bonferroni's inequalities. We need the followi …
7
votes
Accepted
A sum of two binomial random variables
Here is a (surprising) proof using Cauchy-Schwarz and "rearrangement".
The following lemma will be the key.
Lemma
: Let $X,Y$ be independent integer-valued rvs, then \begin{align*}
(a)\; &\mbox{ for …
1
vote
Generations until fixation: A nontrivial generalization of a dice convergence problem
This is the simplest (discrete) case of Kingman's coalescence. See e.g. https://arxiv.org/abs/0809.4233 and the explanations and references there.
The relation to the process considered there can be …
4
votes
Quantifying the noninvertibility of a function
$\lambda(f):=\kappa_f-1$ is called "the coefficient of coalescence of $f$" here:
https://msp.org/pjm/1982/103-2/pjm-v103-n2-p03-p.pdf
(note the typo on p.269, the correct definition appears on p.27 …
4
votes
Accepted
Moments of a combinatorial ensemble of random variables
(You are considering the uniform distribution on a discrete simplex. I'm not aware of specific results in the literature,
and a brief internet search didn't reveal anything.)
A simple way is to use …
3
votes
Accepted
Birthday problem extension to unequal probabilities and multiple collisions
Here is a proof using generating functions. Let $c\geq 2$ and $k\geq 2$ be fixed.
Let $X=(X_1(n),\ldots,X_k(n))$ be the $k$-tuple of occupancy numbers at time $n$, i.e. $X_i(n)$ = number of bins of ty …
6
votes
Expected determinant of random symmetric matrix with different Gaussian distributions of the...
Here is a another approach.
For convenience I write $n$ instead of $N$, and $A_n$ for $A$.
By definition
$$\det(A_n) = \sum_{\pi\in S_n} \operatorname{sign}(\pi) \prod_{i=1}^n a_{i,\pi(i)}$$
By …