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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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Coupling/Ordering of Brownian bridges

Suppose I have two 1D Brownian bridges $(B^{(1)}_t,t\in [0,1]),(B^{(2)}_t,t\in [0,1])$, one from $0$ to $0$ and one from $x$ to $y$ where $x,y \geq 0$. Is there a neat way to show that there exists a ...
David's user avatar
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2 votes
0 answers
104 views

Existence of Dirac measures in the context of joint and marginal distributions

Let $\pi$ be the joint law of $(X, Y)$ with marginal distributions $\mu$ and $\nu$. We assume that we have: for all $A \in \mathcal{B}(\mathbb{R})$ such that $\mu(A) > 0$ $$ \nu\left(\{y \in \...
thibault jeannin's user avatar
0 votes
1 answer
86 views

Analytical approaches to approximate probability density functions of multivariate random functions

Given a random multivariate function $f(x, y, z)$, where $x, y, z$ are independent and identically distributed random variables with a probability distribution $\rho(X)$, I aim to approximate the ...
Guoqing's user avatar
  • 375
-1 votes
1 answer
80 views

Seating assignment inspired question

Motivation. Recently I stayed at a hotel which had the curious custom to ask their $n$ parties (group of guests, most parties a married couple) which of the $n$ tables they wanted to take. Of course ...
Dominic van der Zypen's user avatar
3 votes
1 answer
74 views

Strong law of large numbers indexed by a directed set

Let $\xi_{1},\xi_{2},\ldots$ be a sequence of independent random variables with mean 0. For simplicity, assume that each $\xi_{i}$ only takes two values in $[-1,1]$. Let $\mathscr{F}$ denote the ...
Arkadi Predtetchinski's user avatar
1 vote
1 answer
60 views

Reverse Doob’s maximal inequality for bounded martingales

Consider the set of discrete or continuous time $L^\infty$-bounded martingales $X$ with $X_0 = 0$ almost surely. Here $L^\infty$-bounded means $\|X\|_{\infty} := \sup_t \mathbb \|X_t\|_{L^\infty(\...
Nate River's user avatar
  • 6,215
3 votes
1 answer
181 views

A nice terminal inequality for martingales

Let $X_t$ be a continuous time martingale taking with $\sup_t \mathbb E[X_t^-] < \infty$, and $X_0 = 0$ almost surely. Assume further that $X_1$ admits a probability density function. Is it true ...
Nate River's user avatar
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1 vote
0 answers
48 views

Comparing two probability of connection in Bernoulli percolation on $\mathbb{Z}^2$

I want to know for bond Bernoulli percolation on $\mathbb{Z}^2$, does it holds that $$ \mathbb{P} \left( (0,0)\longleftrightarrow (0,n) \right) \geq \mathbb{P} \left( (0,0)\longleftrightarrow (k,n) \...
Rixinner's user avatar
5 votes
2 answers
557 views

A race to the bottom

Nate has a biased coin that comes up heads $\frac{1}{2} + \delta$ proportion of the time, where $0 < \delta \leq \frac{1}{2}$. He is competing against a large number $N$ people who each have fair ...
Nate River's user avatar
  • 6,215
-1 votes
1 answer
168 views

Space of distributions on $[0,1]^2$: weakly compact or not?

Let $X_1,X_2$ be distributions on $[0,1]$ and let $X=(X_1,X_2)$ be the joint distribution of $X_1,X_2$. Let $\mathcal{X}$ be the set of all such joint distribution $X$. Question 1: Does $\mathcal{X}$ ...
tom jerry's user avatar
  • 349
0 votes
1 answer
64 views

Sharpening Doob’s upcrossing inequality for Brownian motion

Note: This question is heavily related to a series of posts ([1], [2]) by user GJC20. Provided a martingale $X$ in continuous-time, Doob's upcrosssing inequality states: If $U(a,b)$ denotes the number ...
Nate River's user avatar
  • 6,215
1 vote
0 answers
68 views

Bialgebras in 1/Kl(D)

$1/Kl(D)$ is the comma category of the one element set in the Kleisli category of the distribution monad. There is mention of it here. The objects are probability distributions called states and the ...
mathlete42's user avatar
1 vote
1 answer
107 views

Iterated optimal transport

Suppose we are interested in two consecutive transport plans (in the Kantorovich formulation). That is, we are given finite sets $X$, $Y$ and $Z$, endowed with probability measures $\mu_X$, $\mu_Y$ ...
tex.support's user avatar
3 votes
1 answer
98 views

Error bound for MonteCarlo estimate of elements in Gram-Matrix

Suppose I have a $n\times n$-symmetric positive-definite matrix $A$ with elements: \begin{align} [A]_{ij}=\int_{\Omega}f_i(x)f_j(x) \, dx, \quad i,j=1,\ldots,n \end{align} where $\Omega\subset \mathbb{...
Jjj's user avatar
  • 93
0 votes
2 answers
60 views

Do continuous martingales satisfy this nice terminal inequality?

Let $X$ be a continuous, non negative martingale on $[0, 1]$ with $X_0 = x_0$ a.s. for some $x_0 \in \mathbb R$. Assume further that $X_1$ admits a probability density function. Is it true that the ...
Nate River's user avatar
  • 6,215
0 votes
0 answers
44 views

Large Deviation Principle for an adaptive sampling rule for Multi Armed Bandits

Consider the following adaptive strategy for sampling from a Multi Armed Bandit with $K$ arms: Split the $T$ rounds into $N (\in \mathbb{N})$ disjoint intervals. Each interval is indexed by $i=1,2,\...
29910622's user avatar
1 vote
0 answers
48 views

Quantile maximization of the difference of random constrained quadratic optimization problems

I am interested in understanding the family of parametrized random variables defined by the pushforward map $$ \lambda_x : \varepsilon \mapsto \underset{z_1 \in \mathbb{R}^n :\, h^T z_1 = 0, \; z_1 \...
NeyPea's user avatar
  • 11
0 votes
0 answers
66 views

Long-time conditioning for a Markov Chain

I am studying MERW and for some reasons, i would like to know if, if I have $(X_n)$ an irreducible Markov Chain, I can say that $\mathbb{P}(X_1=x | X_0=a, X_n = b)$ goes to $\mathbb{P}(X_1=x | X_0=a)$ ...
ClaraS07's user avatar
1 vote
1 answer
197 views

Probability distribution on Python-dictionary-like objects?

I would like to examine information-theoretical properties of random variables that take as values objects which are akin to dictionaries in the Python programing language. That is, each sample of the ...
Lukas's user avatar
  • 11
0 votes
0 answers
32 views

A question on Poisson approximation of number of secure rooks on a d-dimensional chessboard

This question was given in our first year undergraduate Probability I course. In $d$ dimensions the lattice points $i = (i_1, i_2, \cdots, i_d)$ where $1\leq i_j\leq n$ may be identified with the “...
Souparna's user avatar
  • 149
1 vote
1 answer
50 views

Increasing function of $\theta$ for the Ali-Mikhail-Haq Survival Copula

I have been trying to solve the following function is non-increasing (non-decreasing) with respect $\theta$ where $\theta \in (0,1)$ (resp. $\theta \in (-1,0)$) \begin{equation} f(\theta)= \frac{h(t,\...
MSquared's user avatar
5 votes
1 answer
183 views

What is a natural interpretation of the commutator of the conditional expectation operator?

Notation: We denote by $\mathbb E_{\mathcal F} X$ the conditional expectation of the random variable $X$ with respect to the $\sigma$-algebra $\mathcal F$. Given two $\sigma$-algebras $\mathcal G, \...
Nate River's user avatar
  • 6,215
4 votes
1 answer
150 views

Convex order between Gamma distributions and Exponential distributions

Let $ (b_1, \dots, b_n) $ be a tuple of positive integers. Define independent random variables $ Y_i \sim \text{Gamma}(b_i, b_i) $ (shape and rate parameter both equal to $ b_i $) for $( i = 1, \dots, ...
Randy Ji's user avatar
2 votes
0 answers
71 views

Assumptions Wald's second equation?

Let $(X_n)_{n\in \mathbb{N}}$ be an i.i.d. sequence of random variables and $N$ an $\mathbb{N}_0$ valued random variable. Let $X_1 \in \mathcal{L}^2$ and $N \in \mathcal{L}^1$. Let $S_n := \sum_{i=1}^...
psl2Z's user avatar
  • 261
3 votes
1 answer
435 views

What is the connection between these three methods of generating this sequence?

I was recently looking at this problem: “There are a number of balls in a jar, some of them red, some of them white. The odds of picking two at random and both balls being red is 1/2. How many of the ...
Conor Pillay's user avatar
0 votes
0 answers
45 views

Functional inequalities on neighbourhood graphs

Consider an open domain $\Omega \in \mathbb{R}^d$, say the unit disk in $\mathbb{R}^2$ with $N$ points sampled i.i.d. on it. One of the simplest possible (unnormalised) discrete Laplacian of a ...
Rundasice's user avatar
  • 111
0 votes
1 answer
100 views

Expressing a multivariate normal distribution as a mixture of uniform distributions?

Context: Given a scalar normal distribution $X\sim \mathrm{N}(\mu, \sigma^2)$, it is possible to express $X$ as a mixture of uniform distributions over intervals (compound probability distributions), ...
PiePiePie's user avatar
1 vote
1 answer
75 views

Probability of correctly guessing the maximum event probability of a multinomial distribution

I have a sample from multinomial distribution with $n$ trials, and $k=3$ options. I know that one of the event probabilities $p_i$ is larger than the two others (who are equal). I'm trying to guess ...
Ted's user avatar
  • 267
2 votes
0 answers
77 views

Inequalities concerning cummulative distributions of binomials

For random variable $Z$, let $F_Z$ denote its cdf, i.e., $F_Z(t)=\mathbb{P}(Z\leq t)$. Let $X$ be a binomial distribution with parameters $(n,p)$ and $Y$ a binomial distribution with parameters $(m,p)$...
Marcos Kiwi's user avatar
-1 votes
1 answer
61 views

Asking for some references on correlations of joint optimization problems

Here are two problems that I am trying to understand, and it would be nice if someone could provide references on whether there is some structure theorem for these problems that have been studied in ...
Aaradhya Pandey's user avatar
0 votes
2 answers
135 views

Expectation of supremum of sub gaussians

I am trying to prove Lemma 2.3 of ON THE SPECTRAL NORM OF GAUSSIAN RANDOM MATRICES, which states that Let $X_1,\cdots,X_n$ be not necessarily independent random variables with $\mathbb{P}[X_i > x] ...
Sudipta Roy's user avatar
1 vote
0 answers
64 views

Convergence of iterated average Bayesian posterior to high entropy distribution

Setup Assume $p_Y \in \Delta^n$ is a probability vector obtained by $p_Y=L_{Y|X}p_X$, where $L_{Y|X} \in \mathbb{R}^{n \times m}$ is an arbitrary likelihood (i.e, a column stochastic matrix) and $p_X \...
backboltz37's user avatar
1 vote
0 answers
61 views

Bound on $\int_0^1\sqrt{\log N_{[]}(\varepsilon,\mathcal{F},d)} \, d\varepsilon$ over the class of half-spaces $\mathcal{F}$ on $\mathbb{R}^d$?

For a class of functions $\mathcal{F}$ and a pair $f,g\in\mathcal{F}$ with $f\leq g$, the interval $[f,g]=\{h:f(x)\leq h(x)\leq g(x),\forall x\in\mathbb{R}^d\}$ is called a bracket for $\mathcal{F}$. ...
Daan's user avatar
  • 141
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
16 votes
0 answers
309 views

Randomized Pascal's triangle: What is the average of all the numbers?

This question was posted on MSE. It received some interesting responses, but no definite answer. Let's build a variation of Pascal's triangle. We write $1$'s going down the sides, as usual. Then for ...
Dan's user avatar
  • 3,527
2 votes
0 answers
92 views

Existence of ergodic subgroup invariant to a product measure

Let $X=\{0, 1\}^{\mathbb{N}}$ and $G$ be the group of permutations, each of which only permutes finitely many coordinates of $X$. Fix a sequence $(\lambda_n)_{n\in \mathbb{N}} \subseteq (0, 1]$ and ...
Sanae Kochiya's user avatar
5 votes
0 answers
412 views

Is it really interesting to prove well-posedness of unsolved SPDE?

Lots of nonlinear SPDE remained open for decades (especially the non-deterministic ones in higher dimensions because of the regularity of the noise) until Hairer's breakthrough (regularity structures),...
mathex's user avatar
  • 573
2 votes
3 answers
338 views

Sum of RVs satisfying Bernstein condition on moments

Let us say that a RV $X$ with mean $\mu$ and variance $\sigma^2$ satisfies Bernstein condition with a parameter $\beta>0$, if for all $k \ge 2$, it holds that $$ |\mathbb{E}[(X - \mu)^k]| \le \frac ...
Yauhen Yakimenka's user avatar
5 votes
0 answers
68 views

Distribution of this integral of Fourier multiplier

In Barashkov and Gubinelli (2019) section 2, the authors make the claim that the distribution of $$Y_t = \int_0^t \langle D \rangle^{-1}\sigma_s(D)dX_s$$ is given by the pushforward $(\rho_t(D))_*\...
user539214's user avatar
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
  • 6,215
5 votes
0 answers
112 views

Discrete random walk in an expanding cage (i.e. in a growing domain)

In the book "A guide to First-Passage Processes" by Sidney Redner, a section is dedicated to the survival probability of a random walker in a growing domain. For a fixed-length interval $[0,...
papad's user avatar
  • 274
1 vote
1 answer
215 views

Compactness with respect to topology induced by total-variation distance

I've been working on a problem and at some point in the proof I need to show that the following set $$\left\{\mu \in \mathcal{P}_{ac}(\mathbb R^d): \int \varphi(x)\mu(\mathrm{d}x)\leq C\right\}$$ is ...
Andrew Luo's user avatar
2 votes
0 answers
93 views

$\Phi_d^3$ SPDE

One of the first prototypes of a singular stochastic PDE is the $\Phi_d^4$ SPDE $$\partial_t u=\Delta u-u^3+\xi,$$ where $\xi$ is space-time white noise. It is difficult to study because $u$ is ...
user479223's user avatar
  • 1,904
2 votes
0 answers
58 views

Inclusion-Exclusion formulae for number of SAWs on $\mathbb{Z}^d$ of length $n$ [closed]

Here is my attempt at lower bounding the number of SAWs on $\mathbb{Z}^d$ of length $n$: In $\mathbb{Z}^d$, consider the $2^{d-1}$ lines of the form $\epsilon_1 x_1 = \epsilon_2 x_2 = \epsilon_3 x_3 \...
Brent's user avatar
  • 21
0 votes
0 answers
102 views

Formalizing the "pseudorandomness" of primes

Many conjectures about primes seem to revolve around the idea of "primes are random". So I thought about how this "randomness" may be formally defined, and came up with the ...
XM73's user avatar
  • 1
3 votes
1 answer
136 views

Concentration of sample median for iid Gaussians

Let $X_1, \dots, X_n$ be iid according to $\mathcal{N}(0, 1)$, and let $M_n$ be the median of the $X_1, \dots, X_n$. I recall reading a concentration inequality for $M_n$ that was (roughly) as follows:...
Capybara's user avatar
2 votes
0 answers
83 views

Random time change and ergodicity

I guess it is a standard question in ergodic theory but I failed to find any reference to similar problems and I have no clue on how to tackle it. Let $(B_{t})_{t\in \mathbb{R}}$ be a standard ...
Sauciton's user avatar
1 vote
0 answers
72 views

How to understand "sparse graph limits"

For an $n$-vertex graph $G$, we say it is a sparse graph if $e(G)=o(n^2)$. Otherwise if $e(G)=\theta (n^2)$, we say it is a dense graph. For a sequence of dense graphs $G_1,G_2,\dots,$ we know that it ...
tom jerry's user avatar
  • 349
1 vote
0 answers
66 views

Confusion about central limit theorem by Chandrasekhar et al

In this paper by Chandrasekhar et al. (General Covariance-Based Conditions for Central Limit Theorems with Dependent Triangular Arrays) we can find the following CLT (for simplicity paraphrased in ...
Stefan Perko's user avatar
4 votes
1 answer
111 views

Scaling of stopped Hölder norm of Brownian motion

I'm interested in the behaviour of the stopped $\alpha$-Hölder norm of a one-dimensional real-valued Brownian motion $(B_t)_{t \geq 0}$ for $\alpha < 1/2$. For fixed $T>0$, self similarity ...
user2103480's user avatar