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Questions tagged [pr.probability]

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

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12 votes
3 answers
3k views

Area Enclosed by the Convex Hull of a Set of Random Points

Consider $n$ points generated randomly and uniformly on a unit square. What is the expected value of the area (as a function of $n$) enclosed by the convex hull of the set of points?
user18011's user avatar
  • 123
0 votes
1 answer
589 views

Rigorous proof of the duality of Coupon collector's problem and Occupancy problem

We have $k$ different types of coupons (with replacement).If we collect at least $l$ different coupons, we win a prize. We can only afford to collect $m$ coupons. Let's say we take all those $m$ ...
user20886's user avatar
  • 493
4 votes
1 answer
1k views

effective/constructive/algorithmic probability theory

What sort of "alternative" probability theories are out there in which the methods of proof are inherently constructive? I know of a number of theorems that say that if you take an infinite sequence ...
James Propp's user avatar
  • 19.7k
6 votes
1 answer
844 views

Random geometries

Let $M$ be a smooth $n$-dimensional manifold, and let $FM = GL(M)$ indicate its tangent frame bundle. Let $G$ be a fixed linear subgroup of $GL(n)$, and consider the space $\mathcal S$ of all $G$-...
Tom LaGatta's user avatar
  • 8,512
0 votes
0 answers
187 views

Sampling when given a set of marginal distributions

There is an unknown joint multivariate distribution P(A_1, A_2, A_3, ..., A_n) (in my scenario, it's a n-dimensional contingency table), which we need to sample from. Given an arbitrary set of ...
Jun Zhang's user avatar
2 votes
1 answer
873 views

Bochner's Theorem and Total Positivity

Bochner's Theorem for LCA groups applied to the case of $G = U(1)$ and $G^{\vee} = \mathbb{Z}$ tells us that through the Fourier transform, probability measures on the circle are in bijection with ...
Alexander Moll's user avatar
1 vote
3 answers
687 views

Random Task Scheduling Problem

Assume there are $m$ tasks, each task's working time conforms to some distribution, for instance an exponential distribution with mean $\lambda$. So let the r.v. $X_i$ is the working time of the $i$th ...
Fan Zhang's user avatar
  • 177
1 vote
0 answers
131 views

Help with derivation of probability density of {event generation} & {event detection}

I would like to specify a new probability distribution that relates to an event of size M being produced by some process and subsequently detected. Some assumptions : 1) If the event is detected ...
CJ De Witt's user avatar
8 votes
1 answer
1k views

derivative in the Wasserstein space

Villani gives the following formula to find the gradient of a function $F$ of a probability density function $\rho$ in the Wasserstein space : $$\nabla_W F(\rho) = -\nabla.(\rho \nabla \frac{\delta F}{...
WhitAngl's user avatar
  • 481
6 votes
1 answer
404 views

References for this game

I would like to know how the following game is known in the literature and, possibly, to have references for related papers. Description of the game: Fix a space $X$ and two Borel probability ...
user avatar
8 votes
1 answer
576 views

probability theory for combinatorialists

More than one combinator(ial?)ist has asked me to recommend a good book to learn probability from, and I never know what to say; the probability theory that I use in my research up was mostly learned ...
4 votes
2 answers
1k views

Conditional Probabilities - The Mad Kings' Draft

The Problem of the Mad King's Draft: Suppose there is country which is ruled by a king who can be either 'mad' or 'normal.' The king rules a a large country with a continuum of citizens who have ...
2 votes
1 answer
530 views

Span of Jointly Gaussian Random Variables

Is it true that if $Y_1,Y_2,\cdots,Y_n$ are jointly Gaussian with $E[Y_i]=0~\forall i$ then $$\mathrm{span}(Y_1,Y_2,\cdots,Y_n) = \mathcal{L}^2(\Omega,\sigma(Y_1,Y_2,\cdots,Y_n),P) ?$$ I wanted to ...
jpv's user avatar
  • 23
1 vote
2 answers
2k views

Stochastic process with Bessel function autocorrelation. (Rayleigh (Jakes) fading for radiowave propagation)

Have the following stochastic process $f(t)$ been studied in mathematics ? It is stationary, Gaussian, $f(t)-$complex independent Gaussians $N(0,1)$. The autocorrelation is given by the zero-order ...
Alexander Chervov's user avatar
2 votes
0 answers
240 views

$n$-th return of a random walk on $\Bbb Z^d$

Lets define $f_n = P(X_n =0 , X_k \ne 0, k< n)$ the first return distribution of the random walk $X_n$ on $\mathbb{Z}^d$, and lets go ahead and assume that $f_n \approx n^{-(1+\alpha)}$ for some $\...
sqz's user avatar
  • 41
4 votes
2 answers
4k views

Inversion of Moment-generating functions (aka Laplace transform of prob dist)

I want to embark on a project about inverting a Moment-generating function of a probabilitiy distribution. That is given by \begin{equation} M_X(t) = \text{E} \exp(tX) \end{equation} Since I have ...
kjetil b halvorsen's user avatar
0 votes
0 answers
127 views

A problem about partial sum of random number composition

Consider the strong random number composition, $x_1 + x_2 + \cdots + x_n = m$, with $x_i > 0$ and all possible compositions have the same probability. Let random variable $S_i = \sum_{j=1}^i x_j$...
Fan Zhang's user avatar
  • 177
1 vote
2 answers
772 views

Gibbs sampling step size

I have some data generated using MCMC methods and in particular Gibbs sampling. I computed the autocorrelation but I'm unsure how to determine how many samples to skip. I'd like to determine that ...
s5s's user avatar
  • 87
2 votes
0 answers
200 views

Generator density in $\mathbb{Z}^*_p$

Hello, Consider the multiplicative group $(\mathbb{Z}/p)^*$ for a given prime $p$. We know that the number of generators in this group is $\phi(p-1)$ --- the Euleur totient function. The question is, ...
ogn's user avatar
  • 175
5 votes
1 answer
193 views

Reference for difference equations converging to ODE

I am looking for a reference for a result of the following form: I have a sequence of discrete probability distributions, $p_N$, where the $N$th distribution has associated state space {$k/N, 1 \leq ...
Elena Yudovina's user avatar
4 votes
1 answer
864 views

Maximum entropy probability distribution with known quantile

For continuous distributions on x>0 with known mean m, the exponential distribution f(x) = (1/m)exp(-x/m) is the maximum entropy distribution, with entropy H(f) = ln(m)+1. I have a problem where I ...
Trevor Stewart's user avatar
5 votes
1 answer
605 views

accumulation points within Pisot numbers

Recall that Pisot numbers are algebraic integers greater than $1$, whose other Galois conjugates have modulus $<1$. The set of Pisot numbers is usually denoted $S$. It is known that $S$ is ...
Denis Serre's user avatar
  • 52.3k
1 vote
1 answer
394 views

Conditional probability and independence

Suppose that we have vectors of events $\{H_1,...,H_n\}$ and $\{D_1,...,D_m\}$. Consider the following two sets of conditions: Condition set 1 (1) $P(H_i H_j)=0$ for any $i\neq j$ and $\sum_iP(H_i)=...
Eric's user avatar
  • 2,619
6 votes
1 answer
663 views

Probability of a set of random vectors over finite field being a spanning set

Suppose I have a set of random vectors $f(a_1, \ldots, a_\ell) := (v_1, \ldots, v_m) \subset F_p^n$, $m \ge n$, given by a matrix valued polynomial function $f$, where the $a_i$'s are independent, ...
John Jiang's user avatar
  • 4,466
14 votes
3 answers
694 views

Probability to be the winner in a tournament

In a project in Game Theory we (Ayala Arad and Ariel Rubinstein) are stuck with the following "simple" question. We are sure of the conjecture but we failed to find a (hopefully simple) proof: Let $...
Ariel Rubinstein's user avatar
2 votes
0 answers
81 views

Subgraphs of bounded tree-width and preserving edges of original graph

Given a graph $G$, I would like to determine a method for randomly generating subgraphs $G'$ with the following properties: Each edge of $G$ has at least some probability $p$ of going into $G'$ The ...
David Harris's user avatar
  • 3,475
4 votes
1 answer
249 views

Colored arrangements of circles on the two sphere

Let me define a degree $n$ colored arrangement of circles on $S^2$ to be a collection $\mathcal{C}$ of $n$ disjoint, smoothly embedded circles $C_1,\dotsc, C_n\subset S^2$ together with a ...
Liviu Nicolaescu's user avatar
1 vote
1 answer
1k views

Distance between two points on a one dimensional line

I have a problem similar to the one already described and solved here Mean minimum distance for N random points on a one-dimensional line: In my case I have N random points on a line of length L ...
user22159's user avatar
7 votes
1 answer
394 views

Reference request: Martingale decompositions (positive/negative and u.i./singular)

For a paper I am writing, I need these two facts. The proofs are fairly short, but I would rather just cite them. This is for martingales index by natural numbers. Also, I call a martingale which ...
Jason Rute's user avatar
  • 6,287
9 votes
2 answers
726 views

Return probabilities for random walks on infinite Schreier graphs

Question: Is there a sequence $(\delta_n)_n$ of real numbers with $\delta_n \to 0$ as $n \to \infty$, such that the following holds: Let $F$ be a free group on two generators, let $F \curvearrowright ...
Andreas Thom's user avatar
  • 25.5k
16 votes
0 answers
2k views

When does a correlated Brownian motion leave a square?

Let $B=(X,Y)$ be a correlated two-dimensional Brownian motion, that is, the components are standard Brownian motions and the covariance between $X_t$ and $Y_t$ is $t\rho$ for some constant $\rho \in [-...
Jochen Wengenroth's user avatar
7 votes
3 answers
4k views

Is a semicontinuous real function Borel measurable?

Let $f(x,u): [0,1]^2 \mapsto \mathbb{R}$ be a continuous function. [Q] Is $g(x) = \inf_{u\in [0,1]} f(x,u)$ always Borel measurable? If not, can one find a counter-example? Note that, for any $c$, ...
kenneth's user avatar
  • 1,399
3 votes
1 answer
223 views

Exchangeable normal distribution mixing measure

I have a zero mean multivariate normal probability distribution where WLOG each marginal variance is unity and all pairwise correlation coefficient are equal and positive. The number of elements in ...
Cyan's user avatar
  • 55
3 votes
1 answer
1k views

Divergence between two random variables

I have two Gaussian random variables $X$ and $Y$, each of which is an estimator of an underlying quantity. I need to measure whether $Y$ is estimating something different than $X$. So if the mean of $...
user21997's user avatar
3 votes
0 answers
143 views

finding rank-3 tensors compatible with a rank-2 tensor projection

I am interested in the following problem: Consider a rank-3 symmetric tensor $\boldsymbol{\sigma}$ with $\sigma_{ijk}$ where $\sigma_{ijk}$ can be 0 or 1, and the symmetry is with respect to any ...
Ed Wolf's user avatar
  • 41
0 votes
1 answer
156 views

Expected number of trials to cover certain probability mass for a probability density function?

Suppose we have a univariate random variable $X\sim\mathcal{P}$ with probability density function $f(x):\mathbb{R}\to\mathbb{R}$, $\int_{-\infty}^{\infty}f(x) dx = 1$, we then draw $n$ samples $x_1,...
nil's user avatar
  • 103
6 votes
3 answers
544 views

Solving SDE's on subsets of $R^n$.

I posted this on mathstackexchange to no avail. It is well-known (see for instance Oskendal's text) that if $T>0$ and $$b(\cdot,\cdot): [0,T] \times \mathbb{R}^n \rightarrow \mathbb{R}^n~~~~~~\...
ShawnD's user avatar
  • 461
13 votes
3 answers
1k views

A property of unimodal sequences

It is well-known that $(-1)^j \sum_{i=0}^j (-1)^i\binom{n}{i} \geq 0$. This inequality can be used to prove Bonferroni's inequalities for example. Recently I noticed that a similar inequality applies ...
Jose A Rodriguez's user avatar
1 vote
2 answers
2k views

Variance of exponential random variable

For a random variable $\xi$, what bounds can be achieved for Var $e^{\xi}$ in terms of E$\xi$ and Var $\xi$?
Alex's user avatar
  • 11
4 votes
1 answer
151 views

Mean occurrences of letters in complete strings given by a Bernoulli scheme

Suppose one has an alphabet of $K$ letters, from which we draw sequentially letters; assume that the $n$-th letter occurs with a fixed probability $p_n$ independently of the others and of the previous ...
alezok's user avatar
  • 418
0 votes
1 answer
207 views

Copulas and marginals thereof

Hello everyone, I recently became aware of the existence of the copula concept. So, I have been reading a few things about copulas lately, but I cannot seem to find information on the following ...
ngiann's user avatar
  • 103
6 votes
2 answers
4k views

Given several beta distributions, what is the probability that one is the highest?

Given several random variables distributed according to different beta distributions, how can I calculate the probability that any one of those random variables is actually the highest? The ...
sanity's user avatar
  • 269
6 votes
0 answers
104 views

geometric construction of uniform measure on plane partitions in a box

If one picks $a+b$ points uniformly at random (and independently) in $[0,1]$, coloring $a$ of them Red and $b$ of them Blue, then reading the points from left to right one gets a uniform random ...
James Propp's user avatar
  • 19.7k
5 votes
0 answers
273 views

root system generalizations of Sekiguchi-Debiard (aka Laplace-Beltrami) operators

For the root system $A_n$, taking the limit $q = t^\alpha$ and $t \to 1$, and letting $Y = (t-1) X -1$ one obtains from the Macdonald operator the so-called Sekiguchi-Debiard operator: $$D_\alpha(X) =...
John Jiang's user avatar
  • 4,466
5 votes
2 answers
884 views

A generalization of the Sanov Theorem

Let $(X_n)_{n\in\mathbb{N}}$ be a sequence of i.i.d random variables with law $\mu$. The Sanov Theorem then states that the empirical measures $$ \mu^N =\frac{1}{N} \sum _{n=1}^N\delta _{X_n} $$ ...
Adrien Hardy's user avatar
  • 2,135
8 votes
2 answers
14k views

Sum of Squares of Normal distributions

Given $X_i \sim \mathcal{N}(\mu_i,\sigma_i^2)$, for $i = 1,\dots,n$. How does one find the distribution of $D = \sum_{i=1}^n X_i^2$? In the case that all the standard deviations are the same (i.e. $\...
Jacqueline Nolis's user avatar
6 votes
0 answers
715 views

What is the structure of a space of $\sigma$-algebras?

Let $X$ be a compact metric space, and consider the Banach space $\Omega = C(X,\mathbb R)$ of continuous, real-valued functions on $X$, equipped with the supremum norm. Let $\delta_x \in \Omega^*$ be ...
Tom LaGatta's user avatar
  • 8,512
4 votes
2 answers
835 views

Reference on continuous-time finite state filtering

Problem: I'm working in reliability field and have seen papers written on the topic like process of failures when systems are functioning under unobservable (or observable) Markov-like environment, i....
Tomas's user avatar
  • 267
1 vote
0 answers
336 views

Normalized correlation with a constant vector

I am confused how to interpret the result of preforming a normalized correlation with a constant vector. Since you have to divide by the standard devation of both vectors (reference: http://en....
David Doria's user avatar
4 votes
2 answers
515 views

Measures that satisfy a 0/1 law

The setting is measure on $2^\omega$. That product (independent) measures obey a 0/1 law, i.e, that measurable tail sets all have measure 0 or 1, is well known. I've made some progress extending this ...
Patrick Reardon's user avatar

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