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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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Wasserstein-type concentration inequalities for empirical measures on polish spaces

Let $(\mathcal{X},d)$ be a Polish (metric) space and let $\{X_n\}_{n=1}^{\infty}$ be a sequence of i.i.d. $\mathcal{X}$-valued random elements defined on a common complete (standard) probability space ...
ABIM's user avatar
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Inverse of a Borel surjection

Let $X$ and $Y$ be standard Borel spaces, and let $f:X\to Y$ be a surjective Borel map. Does there exist a Borel inverse of $f$, that is a Borel map $g:Y\to X$ such that $f\circ g = \mathrm{id}_Y$. ...
SBF's user avatar
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Maximization of a total variation distance subject to another total variation distance in Markov chain

Suppose two dependent random variables $X$ and $V$ from finite alphabets $\mathcal{V}$ and $\mathcal{X}$ with known joint and marginal distributions are given. Let $P_{XV}$ and $P_X$ and $P_V$ are the ...
math-Student's user avatar
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2 answers
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How much larger than the relaxation time can the mixing time be?

The notation is mostly taken from the book "Markov chains and mixing times" by Levin, Peres, and Wilmer. Consider an irreducible, aperiodic, time-reversible, discrete-time Markov chain on a finite ...
Hedonist's user avatar
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Is the integral always nonzero?

Let $$I_{n,p,a}:=\int_0^{\infty-} \frac{g_{n,a}(t)}{t^{p+1}} \, dt,$$ where $$(*)\qquad\qquad\qquad n\in\mathbb N,\quad -\infty<a<\infty,\quad p_{n,a} < p < n,\qquad\qquad\qquad\qquad\...
Iosif Pinelis's user avatar
3 votes
0 answers
517 views

The distribution of collision stopping time in 2D random walk

Assume two particles A at $(0, 0)$ and B at $(a, b)$ in 2D discrete grid, both of them have the same possibility of $\frac{1}{4}$ for moving up/down/left/right (i.e. 2D random walk). We define the ...
Chenggang Zhao's user avatar
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1 answer
229 views

Inequality for difference of consecutive atom probabilities for binomial distribution

Edit: This post was originally two questions, the first of which has been answered, but a reference would still be appreciated if existent. The second question has been removed and migrated to its ...
Pat Devlin's user avatar
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3 votes
1 answer
218 views

Pathwise linearization of diffusion processes

Let $W$ be a standard $n$-dimensional Brownian motion, and $X$ the diffusion process given by the solution to the SDE $$dX_t = \mu(X_t) \, dt + \sigma(X_t) \, dW_t,$$ with $\mu: \mathbb R^n \to \...
Nate River's user avatar
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How can we define the Stratonovich integral rigorously?

Let $T>0$ $(\Omega,\mathcal A,\operatorname P)$ be a probability space $(\mathcal F_t)_{t\in[0,\:T]}$ be a right-continuous filtration on $(\Omega,\mathcal A)$ $B$ be a Brownian motion on $(\Omega,...
0xbadf00d's user avatar
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What is known about the distribution of the errors in empirical approximation of a CDF?

Let $X_1,X_2,\ldots,X_n$ be i.i.d. random variables in $\mathbb{R}$ with common cumulative distribution function (CDF) $F(x)$. The empirical approximation to $F(x)$ is defined as follows: $$\hat{F}...
Bullmoose's user avatar
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Exercise on a hitting time for a Brownian Motion

I'm following Chapter 3 of "Brownian Motion", by Peres and Mörters, about The Dirichlet Problem(DP). As it is known, in order to obtain existence and uniqueness of a solution for DP it is necessary to ...
Max's user avatar
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1 answer
222 views

Does convergence in law imply convergence in convex distance?

For two random variables $X$ and $Y$ taking values in $\mathbb{R}^m$, the convex distance $d_c$ is defined as $$d_c(X,Y) = \sup_{h} \lvert \operatorname{E}(h(X)) - \operatorname{E}(h(Y)) \rvert,$$ ...
r_faszanatas's user avatar
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1 answer
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Lipschitz functions that saturate the Lipschitz inequality on the average (part 1)

Consider a 1-Lipschitz function $f: \mathbb R^n \to \mathbb R$ satisfying the inequality \begin{align*} |f(x) - f(y)| \le \|x-y\|_2, \;\forall x,y \in \mathbb R^n. \end{align*} For $n \ge 2$, can we ...
passerby51's user avatar
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Reference request: Darboux properties of real-valued set functions (measures, densities, etc.)

Fix a set $S$ and let $f: \mathcal P(S) \rightharpoonup \mathbf R$ be a real-valued partial function on the power set of $S$; denote by $\mathcal D$ the domain of $f$. We say that $f$ has: (i) the ...
Salvo Tringali's user avatar
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1 answer
145 views

Minimization of an entropy type functional

Let $\mathcal P$ be the set of probability densities on $[0,1]$ with mean $1/2$, i.e. $p\in \mathcal P$ iff $$\int_0^1 p(x)dx=1,\quad \int_0^1 xp(x)dx=\frac{1}{2}\quad \mbox{and}\quad p(x)\ge 0, ~~\...
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1 answer
304 views

Question abouth Skorokhod representation of random variables

It is known that for any two probability measures $\mu$ and $\nu$ on $\mathbb R$ that are close in the Prokhorov metric $\rho$, i.e. $$\rho(\mu,\nu)<\varepsilon,$$ then there exist two random ...
CodeGolf's user avatar
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3 votes
2 answers
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Probability of no $k$ 1's in arithmetic progression in binary sequence of length $n$

It is well known [it's on Wolfram Mathworld, for example] that the probability of no runs of $k$ consecutive $1$'s will occur in a $\{0,1\}$-valued sequence of length $n$ is exactly equal to $$\frac{F^...
kodlu's user avatar
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2 answers
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Does my construction always result in a stationary Poisson point process of intensity $1$? How so?

My construction is as follows: Let $X_k$ be a real-valued continuous random variable centered at $k$ (an integer), having distribution $F_k(x,s)$ where $k$ is the location parameter and $s$, a ...
Vincent Granville's user avatar
3 votes
1 answer
372 views

Attractors in random dynamics

Let $\Delta$ be the interval $[-1,1]$, then we can consider the probability space $(\Delta , \mathcal{B}(\Delta),\nu)$, where $\mathcal{B}(\Delta)$ is the Borel $\sigma$-algebra and $\nu$ is equal ...
Matheus Manzatto's user avatar
3 votes
1 answer
116 views

Interpretations of analytic continuations of CDFs to complex probabilities

Are there notable cases where analytic continuations of cumulative distribution functions to complex arguments have a meaningful interpretation or are otherwise useful? If a one dimensional CDF is ...
Dmytro Taranovsky's user avatar
3 votes
3 answers
5k views

Hoeffding's inequality for vector valued random variables

Is there a version of Hoeffding's inequality for vector valued random variables? This seems to be hard to find and I wonder why. I suppose it is difficult to show Hoeffding's lemma, since the proof ...
Manuel Schmidt's user avatar
3 votes
1 answer
253 views

Bounds for duplicate finding with limited independence

(This is a follow up to this previous question on math.stackexchange.com.) Assume a process that samples uniformly at random from the range $[1,\ldots,n]$. I am interested in the time to find a ...
Raphael's user avatar
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3 votes
2 answers
877 views

bound the tail distribution

Suppose that Z_1, ... , Z_n are binomial distributions with E[Z_i]=z_i. If (Z_i) are pairwise independent, then, It's well known that the Chebyshev inequality can bound the tail distributions. If (...
Jiapeng's user avatar
  • 57
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1 answer
473 views

Expected value of the maximum of the periodogram

Let us suppose that $X_1,\ldots,X_n$ with $n\ge1$ are iid random variables such that $\operatorname EX_1=0$ and $\operatorname E|X_1|^s<\infty$ with some $s>2$ and define the DFT of $X_1,\ldots,...
Cm7F7Bb's user avatar
  • 423
3 votes
2 answers
590 views

The Largest Piece of Circumference

We add $n$ random lines to the unit disc. We do so by adding two points on the disc, transcribing a line between them and extending that line to the boundary of the disc, namely the unit circle. Each ...
John Smith's user avatar
3 votes
1 answer
184 views

Why is number of single cell clusters always greatest in a random matrix?

Consider a large $N\times N$ square lattice, where each cell has a probability $p$ of being "occupied" (let's call denote them as "black") and a probability $1-p$ of being empty (let's denote them as "...
user avatar
3 votes
1 answer
472 views

Path cardinality for random $(a+b)$-ary infinite trees

Consider a random infinite binary tree $T(a,b)$, so that $a$ denotes the probability of a left edge branching from any root-connected node,and $b$ denotes the probability of a right edge branching ...
Halfdan Faber's user avatar
3 votes
1 answer
303 views

Probability a polynomial $v(t)$ is divisible either by $1-t$ or by $1+t^{2^{j-1}}$, for some $j$

For large and even $n$ consider a random degree $n$ polynomial $v(t)$ with coefficients from $\{-1,0,1\}$. The coefficients are chosen uniformly and independently. Is it possible to get an ...
Simd's user avatar
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3 votes
1 answer
220 views

Number rank-k 0-1 matrices (characteristic 0)

What is the number of $n\times n$ 0/1-matrices with rank $k$? (The rank is taken over the rationals.)
DOT's user avatar
  • 103
3 votes
3 answers
244 views

Example of a (strictly) proper scoring rule on a general measurable space?

Most of the literature on scoring rules that I know of deals with discrete measurable spaces, but in this paper by Gneiting and Raferty a very general definition of a scoring rule is given. I don't ...
aduh's user avatar
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3 votes
0 answers
240 views

Derandomization barriers in complexity theory applicable as barriers to constructive arguments replacing probabilistic method

The probabilistic method as first pioneered by Erdős (although others used this before) shows existence of a certain object while finding that object may take exponential time. (1) Is there any ...
Turbo's user avatar
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3 votes
5 answers
986 views

Numerical Solution to Inverse Integral (Pseudo Random Number Generation)

If I have an arbitrary positive monotonically decreasing function $f(x), x \in [0,\infty]$, is there an 'efficient' method for finding $y$ in: $r = \int\limits_0^y f(x) dx $ for a known $r \in [0, \...
Lucas's user avatar
  • 144
3 votes
1 answer
607 views

Show that $\sup_{\|g\|\leq \delta_n}\left| \frac{1}{\sqrt{n}}\sum_{i=1}^n g(Z_i)\right|\rightarrow_{\text{a.s.}}0.$ when $\delta_n\rightarrow 0$?

UPDATE: The result below can be understood as an almost sure stochastic equicontinuity condition. I don't know of any result establishing primitives of almost sure stochastic equicontinuity. If you ...
Caetano's user avatar
  • 59
3 votes
1 answer
233 views

Brownian level sets and continuous functions

Let $V_t$ and $W_t$ be independent standard Wiener processes ($t\ge 0$, $W_t,V_t\in\mathbb R$). Let $C$ be the event that there is a continuous function $f$ such that for all $s$, $t$, $$ W_t=W_s\iff ...
Bjørn Kjos-Hanssen's user avatar
3 votes
0 answers
78 views

Modify exponential family representation to a semimartingale

Given a filtered space $(\Omega, F,\mathcal{F}_{t})$ with rightcontinous filtration. We have a class of probability measures $P=\{P_{\theta}:\theta \in \Theta\}$ definied on the filtered space. We ...
Guildmaster2k15's user avatar
3 votes
1 answer
281 views

Drunkards Uphill Walk

An urn is filled with n black and n white balls. Do the following Markov process: 1. Draw ball, memorize color, throw it back. 2. Draw another ball (might be the same!), color it with memorized color, ...
Hauke Reddmann's user avatar
3 votes
1 answer
336 views

Expected value of "longest bit / shortest bit" in $n$ uniformly distributed points on $[0,1]$

Let $n\geq 2$ be an integer. We pick $n$ points in $[0,1]$ with uniform distribution. Let $A$ be the minimum distance that two adjacent points have, and let $B$ be the maximum distance that two ...
Dominic van der Zypen's user avatar
2 votes
1 answer
136 views

Does higher volatility of SDE imply lower probability of staying positive?

Given two SDEs $X^1$, $X^2$ : $$X^i_t=1+t+\int_0^t\sigma_i(s)dW_s,\quad \forall t\ge 0,$$ where $\sigma_i:\mathbb R_+\to [1/2,1]$ are non-decreasing s.t. $\sigma_1(t)\le \sigma_2(t)$ for all $t\ge 0$....
GJC20's user avatar
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2 votes
3 answers
3k views

Is there any random variable which has unbounded fourth moment? [closed]

In many statements in probability, there is an assumption like bounded fourth moment. So is there any random variable which has unbounded fourth moment?
hunngtonsee's user avatar
2 votes
1 answer
132 views

Independent decomposition of coordinate distribution

Let $\mathbf{x}$ be a random Gaussian vector in $\mathbb{R}^n$, i.e. $\mathbf{x}\sim\mathcal{N}(\mathbf{0},\mathbf{I}_n)$. Then for any fixed unit vector $\mathbf{u}$, one has $\mathbf{u}\mathbf{u}^\...
Wuchen's user avatar
  • 515
2 votes
0 answers
264 views

Prove or disprove a mutual information inequality

I have $n$ IID Bernoulli random variables denoted by $X_1,X_2,\ldots X_n$ with parameter $p$. I am interested in knowing if the following inequality involving mutual information holds : $\boxed{\max_{...
wanderer's user avatar
2 votes
2 answers
667 views

Power series of ratio of Gamma functions

Let $a>1$ and define $G_a(x)=\sum\limits_{n=0}^{+\infty} \frac{\Gamma(\frac{2n+1}{a})}{\Gamma(2n+1)\Gamma(\frac{1}{a})}x^n$ where $\Gamma$ is the Gamma function. This series is convergent on $\...
velicci's user avatar
  • 39
2 votes
1 answer
299 views

Can this particular random matrix model be converted/related to any existing graph theory model?

Context: This a sequel to the question: Is the Erdős–Rényi giant component result applicable here? Consider a matrix whose elements are independently assigned a value $1$ with probability $p$ ...
user avatar
2 votes
0 answers
173 views

Why do larger random matrices maximize their number of clusters with lower densities?

Consider a matrix whose elements are independently assigned a value $1$ with probability $p$ and a value $0$ with probability $1-p$. Define a cluster of cells as a maximal connected component in the ...
alphauser's user avatar
2 votes
0 answers
78 views

Handling sums of correlated random variables with a directed path structure

Recently, I've been seeing random variables with the following correlation structure based on directed paths on a graph. For example, there are $16$ directed paths "directed downwards from the ...
user196574's user avatar
2 votes
1 answer
246 views

Can we construct close martingales if their terminal marginal laws are close?

Let $M=(M_t)_{0\le t\le 1}$ be a real-valued continuous martingale. Let $\mu := {\rm Law}(M_1)$ and $\varepsilon \in (0,1)$. For any $\nu$ satisfying $W_2(\mu,\nu)\le \varepsilon$, can we construct ...
Fawen90's user avatar
  • 1,399
2 votes
0 answers
109 views

The fluctuations of a random path

Suppose I have a $n \times n$ square grid and for each square, I assign 1 with probability $\frac{1}{2}$ and 0 with probability $\frac{1}{2}$. On the boundary, I put 1s on the lower half and 0s on the ...
Frederik Ravn Klausen's user avatar
2 votes
1 answer
534 views

Concentration inequality for maximum of gaussians

Let $Z_1,\ldots, Z_n$ be standardized Gaussian random variables and denote $\rho_{ij}=\mathbb{E}Z_iZ_j$. Can one give an asymptotically sharp bound for $$\mathbb{P}\,(\max_{1\leq i\leq n}Z_i>x), \...
TOM's user avatar
  • 2,288
2 votes
1 answer
471 views

Probability a Brownian particle with an exponentially distributed lifetime hits a sphere before vanishing

Imagine I have a point source $p_0 = (x_0,y_0,z_0)$ that releases a point-like Brownian particle with a lifetime given by an exponentially distributed rate parameter $\lambda$. When the particle's ...
Ari's user avatar
  • 43
2 votes
1 answer
199 views

Average cluster size of a n-size vector

Given a vector of $n$ cells and $k$ elements in it, we can define a cluster of elements as a contiguous sequence of elements inside the vector. My goal is to calculate the average cluster size for all ...
Cardstdani's user avatar

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