Skip to main content

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.

Filter by
Sorted by
Tagged with
0 votes
1 answer
681 views

concentration of sums of fourth moment of normals

I was wondering what is the best tail bound for \begin{equation*} \mathbb{P}\bigg\{\sum_{k=1}^n X_k^4>(1+t)3n\bigg\}\le ? \end{equation*} where $X_k$ are i.i.d. $\mathcal{N}(0,1)$.
mohi's user avatar
  • 859
0 votes
1 answer
376 views

Probability of disc-disc overlap for discs placed with uniform probability on a surface until a density $\rho$ is achieved

Imagine I place discs of radius $r$ on a two-dimensional plane, selecting their positions with uniform probability across the surface of the plane, and stop when I reach a disc density $\rho$. As a ...
Shuki's user avatar
  • 13
0 votes
1 answer
886 views

Large deviations for bernoulli sums

Let $p\in (0,1)$ be fixed and let $X$ be a binomial random variable with parameters n and p. Consider a related normal random variable $N$ with mean $np$ and variance $np(1-p)$. Is it true that for ...
TOM's user avatar
  • 2,288
0 votes
2 answers
174 views

Joint distribution with specified marginals

Suppose we are given a probability distribution over a finite discrete product space $p(x,y)$ with marginals $p(x), p(y) > 0$ for each $x,y$ respectively. We are given two more marginal ...
Hedonist's user avatar
  • 1,269
0 votes
1 answer
369 views

n balls, k colors, expected color change problem [closed]

I was asked this question during my interview recently and despite the amount of thinking i put into this, I am yet to figure it out: Given $n$ balls which are painted by $k$ colors. Let $s_i$ number ...
siolag161's user avatar
0 votes
1 answer
507 views

What is the characteristic function of the devil’s staircase?

Let the distribution function $CDF(X,t)$ of a random variable $X$ be defined as $0$ for $ t <0, \text{Cantor function}(t)$ for $t \ge 0$ and $ t \le 1, 1$ for $ t > 1$ (for example, see http://...
Mark's user avatar
  • 195
0 votes
1 answer
290 views

Inequality of Partial Taylor Series

Hi, For a given $\theta < 1$, and $N$ a positive integer, I am trying to find an $x > 0$ (preferably the smallest such $x$) such that the following inequality holds: $$\sum_{k=0}^{N} \frac{x^k}...
Fred's user avatar
  • 51
0 votes
1 answer
287 views

Is this probabilistic principle for stochastic processes known?

In the course of a proof, I used the following principle, which seems so intuitive that it should have a name: Suppose one has a stochastic process $X_t$, for $t \in \omega$, on a (possibly infinite) ...
David Harris's user avatar
  • 3,475
0 votes
1 answer
745 views

Exit probability of a Brownian particle.

Perhaps the answer is common folklore among probabilits and stochasticians(!)? But I would like a good lower estimate for the probability that a particle undergoing brownian motion in 1 dimensions ...
Manas Patra's user avatar
0 votes
1 answer
529 views

Estimates for the mixing time of a Markov Chain with biased initiation

Imagine I have some Markov process consisting of a biased random walk on the integers, over some interval $[0, L]$, with $+1$ and $-1$ step probabilities of $p$ and $q$, respectively, s.t. $(p + q) = ...
user30213's user avatar
0 votes
1 answer
121 views

Multinomial -- how many trials in order to see all the values with prob 1-\alpha

Let suppose that I have a box with $k$ different balls, each one with a different color. At each time I have to extract a ball and observe the color. Then I put the ball back in the box. How many ...
Gighen's user avatar
  • 165
0 votes
1 answer
749 views

distinguishing random orthogonal matrix from Gaussian random matrix

Jiang's paper (http://projecteuclid.org/euclid.aop/1158673325) shows the following: Suppose that $G$ is an $n\times n$ random matrix with entries i.i.d. $N(0,1/n)$, and $Z$ is a random $n\times n$ ...
user14432's user avatar
  • 145
0 votes
1 answer
343 views

Path properties of Levy Processes

I would appreciate if someone helps me with introducing a reference explaining the path properties of Levy Processes. In other words, I want to know a good interpretation of the Levy - Khintchine ...
Hassan's user avatar
  • 1
0 votes
1 answer
101 views

multimodal circular model

Hi, can someone provide me with a list of probability models that is akin to Von Mises but consists multiple (potentially infinite) modes that takes into account attractors in the entire 2-D spatial ...
user22624's user avatar
0 votes
1 answer
103 views

Affect of noise on Random variable separation

We have two random variables $X$ and $Y$. Suppose $P_1$ is the probability that $Pr[X > Y]$. $Z_1$ and $Z_2$ are two i.i.d. (identical and independent) random variables, and let $P_2$ be the ...
Kishor Barman's user avatar
0 votes
1 answer
648 views

Lower bound on sum of independent random variables

Assume $0 < a_i \leq 1$ for $i = 1, 2 \ldots n$. I am interested in the random sum $X = \sum_i a_i X_i$ where $X_i$ are iid random Bernoulli variables with some mean $p \in (0, 0.5)$. I would like ...
Pradipta's user avatar
  • 501
0 votes
1 answer
200 views

How are epidemic models simulated in case of mobility?

I am not a mathematician but out of curiosity I am trying to implement the SIS epidemic model when the nodes have mobility to understand how it will change the results. I understand how to perform ...
Legend's user avatar
  • 439
0 votes
1 answer
551 views

Surface of the cut of an ellipsoid / Marginal density of a multivariate normal over an affine space

So I'm trying to get the marginal density of a multivariate normal over an affine space if $A$ is a matrix in $\mathbb{R}^p \times \mathbb{R}^n$ for $p < n$ and $B \in \mathbb{R}^n$, $\Sigma$ is a ...
Arthur B's user avatar
  • 1,902
0 votes
1 answer
485 views

Looking for a version of Itô's Lemma

Hi Everyone I have some difficulties deriving the Stochastic Differential Equation for the following problem, any help or reference would be appreciated. We are given a Brownian Motion $B_t$ and ...
The Bridge's user avatar
  • 1,334
0 votes
1 answer
359 views

a unique solution ? iteration involving conditional distributions

consider the following mappings, G and T, $y(s) = Gx(s)=\exp\left[\sum_{s'}p(s'|s)\log x(s') \right]$ $z(s) = Ty(s)=\sum_{s'}q(s'|s)y(s')e^{-r(s')}$ where $0< x(s)\leq 1$ ,$r(s)<0$ , $s,s'\in ...
rubin's user avatar
  • 1
0 votes
1 answer
347 views

Where can I learn about master equation?

I am reading a paper by Dorogovstev on structure of growing complex networks with preferential linking. I need to learn master equation for this. I need a reference for the same.
Peter's user avatar
  • 9
0 votes
1 answer
82 views

Median of cardinality of set union

Let $U$ be an arbitrary finite universe (you can just think of it as $[N]=\{1,2,\ldots,N\}$), and $\mathbf{S} = (S_i)_{i \in [n]}$ ($S_i \subseteq U$) be the sets that we are drawing from. Define a ...
kingoyster's user avatar
0 votes
1 answer
66 views

Does convergence in probability of iid samples imply convergence in measure of the sampled functions?

Let $g_i: [0, 1] \to \mathbb R$ be $L^1$ functions, equibounded in $L^1$ norm. Let $X_i$ a sequence of iid uniform random variables on $[0, 1]$. Suppose that $$\frac{1}{n} \sum_{i = 1}^n g_i (X_i) \to ...
Nate River's user avatar
  • 6,223
0 votes
1 answer
72 views

Lower Bound on the Probability for the Sum of IID Random Variables

Let $X_1,\ldots,X_n$ be $n$ iid normalized random variables (with finite variance, possibly sub-Gaussian). Suppose further that $\mathbb{P}(X_1 > 0 ) > 1/2$, implying a positive skew in the ...
xabialgebra's user avatar
0 votes
1 answer
95 views

On the behaviour of individual random walks of a Markov Chain

My current research (on Probabilistic Automaton) brought me to the following question regarding Markov Chains. I state the definitions for the sake of clarity. Let $M$ be a discrete-time finite Markov ...
santi cifu's user avatar
0 votes
1 answer
51 views

Reconstruction of law of diffusion process from call option values

Let $X_{\cdot}$ be a $1$-dimensional diffusion process. If I know the value of the $$\big\{\mathbb{E}[\max\{X_t,c\}\big| X_0 =x\big]:\, c\in \mathbb{R} \text{ and } \,\, t\in (0,1] \big\}.$$ Then, ...
ABIM's user avatar
  • 5,405
0 votes
2 answers
223 views

Reference to get quickly to modern discrete probability theory

I've had some formal training in Analysis - Functional Analysis, Basic Operator Algebra - and I've started working on probability - specifically Combinatorial Statistical Mechanics and Spin-Glasses. ...
total dependent random choice'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
0 votes
1 answer
65 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
  • 6,223
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
0 votes
1 answer
49 views

Characterizing filtrations generated by a stopping time

Setup Let $\Omega$ be the set of càdlàg functions $f : [0,\infty) \to \mathbb R^d$ equipped with the Skorokhod topology for any $d \geq 1$, and let $X_t(\omega) = \omega(t)$ for any $\omega \in \Omega,...
Sarvesh Ravichandran Iyer's user avatar
0 votes
1 answer
114 views

Ball in separable Banach space has positive Gaussian measure

I have (presumably non-degenerate) Gaussian $\mu$ over separable Banach space $X$. I would like to prove that for any ball of radius $r$ centered at $x$, $\mu(B_r(x))$. I know how to prove this in ...
user2379888's user avatar
0 votes
1 answer
65 views

Strict positive definite function gradient tuple

I have a (Gaussian) random function (aka "stochastic process" or "random field") $(f(t))_{t\in \mathbb{R}^d}$. I now want to consider the vector valued random function $g=(f, \...
Felix Benning's user avatar
0 votes
1 answer
126 views

Stationary distribution of AR(1) processes and Lyapunov central limit theorem

Let $X_t$ follow the following AR(1) process: $$ X_t=\rho X_{t-1}+e_t $$ in which $|\rho|<1$ and $e_t$ is iid noise term with density $f$, mean $0$ and finite moments up to a certain order. I am ...
Lemma1's user avatar
  • 157
0 votes
1 answer
102 views

Lower bounds for truncated moments of Gaussian measures on Hilbert space

Let $\mu_C$ be a centered Gaussian probability Borel measure on a real separable Hilbert space $\mathcal{H}$ with covariance operator $C$. Denote the ball with radius $r$ in $\mathcal{H}$ centered at ...
S.Z.'s user avatar
  • 505
0 votes
1 answer
85 views

Conditioned on the expectation and covariance, is the total variation distance maximal for Gaussian distributions?

I want to find two distributions $p_1, p_2$, whose total variation distance is the largest between all pairs of distributions whose expectations $\mu_1, \mu_2\in \mathbb{R}^d$ and covariances $\...
yohbs's user avatar
  • 265
0 votes
1 answer
116 views

Existence and uniqueness of a posterior distribution

I am wondering about the existence and uniqueness of a posterior distribution. While Bayes' theorem gives the form of the posterior, perhaps there are pathological cases (over some weird probability ...
CoilyUlver's user avatar
0 votes
1 answer
106 views

Weak convergence to product measure form conditional convergence of marginals

$\newcommand\Ac{\mathcal A}$ $\newcommand\BL{\operatorname{BL}}$ $\newcommand\reals{\mathbb R}$ $\newcommand\eps{\varepsilon}$ $\newcommand\pr{\mathbb P}$ $\newcommand\ex{\mathbb E}$ $\newcommand\...
passerby51's user avatar
  • 1,731
0 votes
1 answer
108 views

Functional CLT with an asymptotically small time change

This question was posted to MathSE but it seems like MathOverflow might be the more appropriate place for it. Suppose I know that $(\frac{1}{\sqrt{m}}X(mt))_{0\leq t\leq 1}\xrightarrow[m\to\infty]{\...
user1598's user avatar
  • 177
0 votes
1 answer
107 views

What's the lower bound for this quantity?

Suppose $p$ is a discrete distribution with $n$ values and the random variable $x$ satisfies $\mathbb{E}_p[x] = 0$ and $|x| < \infty$. Given $\alpha \in (0,1)$, does there exist a lower bound for ...
Jiacai Liu's user avatar
0 votes
1 answer
74 views

Distribution of an unordered set of random variables

Suppose we have a set of deterministic points $y_{1}, \dots, y_{m} \in \mathbb{R}^{n}$. Let $(\Omega, \mathcal{F}, \mathbb{P})$ be a probability space and let $T : \mathbb{R}^{n} \times \Omega \to \...
user13243542345452's user avatar
0 votes
1 answer
108 views

Finding first and second moments of (extended) projected normal distribution on a 3D unit sphere

I am interested in understanding the statistics of a specific distribution defined on the 3D unit sphere $\mathbb{S}^2$. The distribution in question arises from taking a 3D vector sampled from a ...
조인영's user avatar
0 votes
1 answer
123 views

Is the product of sub-Gaussian polynomials in $\mathbb{R}[x]/(x^n-1)$ sub-Gaussian?

Let $\psi_\alpha(x) := \exp(x^\alpha)-1$. It is well-known that for $\alpha\geq 1$ that $$\lVert X\rVert_{\psi_\alpha} = \inf\{k>0\mid \mathbb{E}[\psi_\alpha(|X|/k)] \leq 1\}$$ defines an Orlicz ...
Mark Schultz-Wu's user avatar
0 votes
1 answer
218 views

Characteristic function of quadratic variation of compound Poisson process

If I have a compound Poisson process whose characteristic function is known, is there a way to calculate the joint characteristic function of this process and its quadratic variation process? If not ...
Frimousse's user avatar
0 votes
1 answer
77 views

Estimation on rotationally-disturbed random vectors

During developing a new statistical estimator, I faced the following problem. Let $\mathbf{x}_i$ be a sequence of i.i.d. $d$-dimensional random vectors with \begin{align*} \mathbf{x}_i = \mathbf{O}...
Seung Hyeon Yu's user avatar
0 votes
1 answer
68 views

Difference between $P(f(x,w)>0)→1$ at any $x$ and $P(\inf(f(x,w))>0)\to1$ when dimension grows

Let $T:=[-1,1]^{n-1}\times (0,1]$. Let $$f_n(x_1,\cdots,x_n,w_1,\cdots,w_n):=g(x_1,w_1)+\cdots+g(x_n,w_n)=\sum_{i=1}^ng(x_i,w_i),$$ where (i) $w_1,\cdots,w_n$ are i.i.d. Gaussian random variables (ii) ...
happyle's user avatar
  • 49
0 votes
1 answer
103 views

Is it reasonable to consider the subgaussian property of the logarithm of the Gaussian pdf?

Let $Y$ denote a Gaussian random variable characterized by a mean $\mu$ and a variance $\sigma^2$. Consider $N$ independent and identically distributed (i.i.d.) copies of $Y$, denoted as $Y_1, Y_2, \...
Math_Y's user avatar
  • 287
0 votes
1 answer
61 views

What can we say about the order of convergence of a critical point of Gaussian mixture density to its limit when the parameter $h$ goes to $0?$

Density of Gaussian mixture with $n$ components is given by: $$f(x):=C \sum_{i=1}^{n}e^{-\frac{1}{2}||\frac{x-x_i}{h}||^2}, x_i \in \mathbb{R}^d, h > 0$$ where $C$ is a normalization constant ...
Learning math's user avatar
0 votes
1 answer
68 views

Expectation of beta function with binomial distribution

Is there any way to express $E[\log(B(a+S_n,b+n-S_n))]$ where $B$ stands for beta function and $S_n \sim B(n,p)$ has a binomial distribution, in a nice way (without using multiple sums by direct ...
Štěpán Pardubický's user avatar
0 votes
1 answer
113 views

Extension of Kolmogorov's martingale inequality

Suppose that $X_1,X_2,\ldots$ are independent random variables. Denote $F_t$ the $\sigma$-algebra generated by $X_1,\ldots,X_t$. Let $T, M \geq 1$, and let $f_1,\ldots,f_M$ be $\mathbb{R} \to \mathbb{...
Aurelien's user avatar
  • 301

1
161 162
163
164 165
181