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A seemingly easy integer programming question

Let $k, m \in \mathbb{Z}_{ > 1}$. Let $a \in \mathbb{Z}_{> 0}^m$ and $t \in \mathbb{Z}^k$. Let $\varepsilon = (\varepsilon_{i,j})_{1 \leq i \leq m \\1 \leq j \leq k}$ be a matrix with entries in ...
Alex's user avatar
  • 501
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0 answers
114 views

Merging Poisson/lognormal processes

We know that merging two Poisson processes results in another Poisson process with a rate that is the sum of the two original rates. (https://www.probabilitycourse.com/chapter11/...
Tamas Kalmar-Nagy's user avatar
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893 views

Random variable and total variation distance

Suppose X, Y are random variables from probability measures F(x), G(y) respectively. The total variation distance of F and G is bounded by a constant c. Is there a way to quantify the distance between ...
Zuofeng Shang's user avatar
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0 answers
69 views

Quasi-stationary measure on a finite graph equals stationary measure?

Assume the simple random walk $X$ on the graph $G(V,E)$, s.t. $G$ is simple, undirected, finite, connected and let $B \subset V$, s.t. $V\setminus B$ is connected. Let $\sigma_B$ be the quasi-...
jondal's user avatar
  • 71
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0 answers
57 views

Parametric distribution where the parameter follows a diffusion process

I'm looking for a distribution $P_{\theta}$ with pdf $f (t,\theta)$ over $\mathbb{R}^{+}$ such that there exists functions $\mu(\theta)$ and $\sigma(\theta)$ such that for all $t>0$: $$\mu(\theta)\...
Arthur B's user avatar
  • 1,902
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0 answers
286 views

Existence and uniqueness of solution for nonlinear system

Under what conditions will a solution $y \in \Re^n$ exist for this system of nonlinear equations? If it exists, will it be unique? $$ \mu_k = \int_0^\infty g_k(x) \, f(x, y) \, dx \qquad \forall \, k ...
visitor's user avatar
  • 101
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0 answers
78 views

Core of direct product of Markov processes

Let $X$ and $Y$ be two diffusion processes. Suppose they have generators $G_X$ and $G_Y$ with domains $D(G_X)$ and $D(G_Y)$ and cores $C(G_X)$ and $C(G_Y)$. Let $Z$ be the product diffusion with ...
ysys's user avatar
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153 views

Embedding a martingale by SDE

Let me reformulate my question. Let $(X_0,X_T)$ be a martingale on $\mathbb R$, then it is known that one has a SDE: $$Z_t=Z_0+\int_0^t\sigma(s,Z_s)dB_s, \mbox{ for all } t\in [0,T]~~~~~~~~~~~~~~(\...
CodeGolf's user avatar
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124 views

Which sub-sequence selection rules preserve the iid property?

Let $\xi_1,\ldots,\xi_n$ be an iid sequence of random variables. If we take a sub-sequence $\xi_{i_1},\ldots,\xi_{i_k}$ with constant indices $1\leq i_1 <\ldots <i_k\leq n$, then the sub-...
Andras Farago's user avatar
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68 views

What can be said about moments of probability distribution if it satisifies hemholtz equation?

From physical considerations I have observed, that probability density in region of interest satisfies $$ \Delta u(x) + \phi(x)u(x) = f(x), $$ where $\phi(x)$ and $f(x)$ are both given functions and $...
Moonwalker's user avatar
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101 views

Probability of random variable being lesser than the other

Say there are two independent random variables, $X$ and $Y$, and we have samples $\{x_1,\dots x_n\},\{y_1,\dots y_n\}$. I am interested in bounding the probability of the event $C = \mathbb{1}_{X<Y}...
AvidLearner's user avatar
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0 answers
890 views

Maximum shortest path problem

I have the following problem. You have a graph and every edge has a certain set of possible weights. The question is to find the assignment of those weight which will maximize the shortest path. In ...
Eugene's user avatar
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34 views

What kind of prior on edge existence would form graphs that are unions of complete (sub)graphs?

Suppose a graph has $n$ vertices. First question: is it possible to give a (nontrivial) prior probability on edge existence so that if a graph is created by querying the prior on the $\binom{n}{2}$ ...
Steve's user avatar
  • 118
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82 views

The effect of channel error on the determinant of transmitted matrix

Assume the following matrix $$ E:=\left( \begin{array}{ccccc} e_1 & e_2 & \cdots & e_{p-1} & e_{p}\\ e_{p+1} & e_{p+2} & \cdots & e_{2p-1} & e_{2p} \\ \...
Amin235's user avatar
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0 answers
96 views

How to get some information about a random variable if we know very little about its distribution

Suppose that $X, Y$ are random variables,both from a probability space to $(0,\infty]$, such that X and $1+Y$ have the same distribution, $Y=Z_1$ with probability equals half, otherwise $Y= \frac{...
user115608's user avatar
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87 views

Variation on stones in buckets

This is a spinoff, see Collecting stones in n buckets. Frankly speaking my only motivation is that I became curious: what happens if one redistributes the stones into the same buckets? More ...
მამუკა ჯიბლაძე's user avatar
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0 answers
54 views

A multifractal model of asset returns - Mandelbrot, scaling result

I am looking at the paper in the title and I am trying to derive their result in equation $2$. Here is what I obtain. Start with: $$X(ct) \stackrel{d}{=} M(c)X(t)$$ where $M(.)$ and $X(.)$ are ...
naz's user avatar
  • 101
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0 answers
236 views

Laplace transform (or characteristic functional) of atomic random measure

A random (nonnegative Radon) measure $M$ (on $\mathbb R^n$, say) has its law characterized by the Laplace transform $\mathbb E\exp(-\int \varphi(x)\ M(dx))$, $\varphi\in C_c^+(\mathbb R^n)$ (...
Jean Duchon's user avatar
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86 views

Derandomizing AP existence in $A\subseteq \{1,\ldots,N\}$ for $\delta(A) \geq 1/k$

In the answer to the mathoverflow question here, it was established that if we let $p$ be the probability of including point $v$ in $A\subseteq \{1,\ldots,N\}$ and this is done independently for all ...
kodlu's user avatar
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0 votes
1 answer
167 views

Finding the right σ-algebra. Question on uncertainty related to the secretary problem

Assume a number of iid. items is presented and the task was to stop under the objective of picking the best item. In this setting it is relevant what is the distribution of the values of the ...
Thomas E's user avatar
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57 views

Where can I find this article of Doléans-Dade?

I need to find the article "Intégrales stochastiques dépendant d’un paramètre" by Doléans-Dade. I could not find a pdf version online, and my university library does not have a printed version. Thank ...
Thomas's user avatar
  • 630
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252 views

Hadamard product (Schur product) in $L^2[0,1]$

Let's consider the separable Hilbert space $\mathcal{H} = L^2[0,1]$ of square-integrable functions on the interval $[0,1]$ with orthonormal basis $(e_j)$. For $x,y \in \mathcal{H}$, the Hadamard ...
Obriareos's user avatar
  • 195
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0 answers
81 views

Prokhorov convergence of Gaussian measures

Consider a Hilbert space $\mathcal{H}$ and a sequence of centered Gaussian measures $\mu_n$ on it. The covariance operators of $\mu_n$ are defined via their eigenpair(eigenbasis and eigenvalue)) as ...
Madhuresh's user avatar
  • 157
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0 answers
51 views

derivation of a gap related to extreme value theory

I have an expression to evaluate as follow: $\mathbb{E}\left[\sum_{k=1}^K s_k f(x_k)\Big|s_k=s_k^{\ast} \right]$ where $\{s_k^\ast\}$ can be treated as a ${policy}$ which is defined as follows: \...
Michael Fan Zhang's user avatar
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0 answers
124 views

Maximal inequality for Markov process

For a Markov process $\{X_n\}$ is there any inequality available for $$ E[\sup_{0 \leq n \leq k} X_{n}]$$ in terms of moments of $E[X_n], 0 \leq n \leq k$
Sosha's user avatar
  • 317
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88 views

CLT for sums of an infinite sequence of rv with an asymptotic distribution

Excuse me if the question is ill-posed. I'll do my best to explain the problem.I have a vector $(x^{(n)}_1, x^{(n)}_2, \ldots x^{(n)}_n),$ whose individual components can be shown to be asymptotically ...
Arun's user avatar
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0 answers
160 views

How to check numerically iterated logarithm law ? (How to choose cutOff lim_n sup_{m: n<= m<= CutOff} ) ?

The law of iterated logarithm asserts that if $x_1,x_2,\dots$ are i.i.d $\cal N(0,1)$ random variables and $S_n=x_1+x_2+\cdots+x_n$, then $$\limsup_{n \to \infty} S_n/\sqrt {n \log \log n} = \sqrt 2, ...
Alexander Chervov's user avatar
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1 answer
150 views

Weak convergence of process

Background: I am trying to compute the weak limit of the following model from mathematical biology that is supposed to exist: Let $$L(f)(\eta)= \sum_{x \in \mathbb{Z}}\frac{1}{2}\left(1_{\eta(x+1) \...
Acuriousmind's user avatar
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0 answers
107 views

Conditional version of martingale difference concentration inequality

Let $M_n$ be a $\mathscr{F}_n=\sigma(\eta_m,\theta_m, m\leq n)$ measurable martingale difference sequence. Then is it possible to find a exponential tail bound for the following $$P(|M_{n+1}| > u|\...
Sosha's user avatar
  • 317
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0 answers
453 views

Integral involving modified bessel function of second kind, exponential and power

I need to compute the following integral. $$ \int_0^a e^{-bx}\sqrt{4(a-x)}K_1(\sqrt{4(a-x))}dx\,. $$ where $$ a>0$$ and $b$ can be greater than zero or less than zero but it is not a complex ...
Frank Moses's user avatar
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0 answers
322 views

Comparison of Parameter estimation using maximum likelihood and Maximum entropy

I am not sure if the question is appropriate but I want to try my luck. One can estimate a parameter using maximum likelihood and we know it is optimal. On the other hand there are methods which uses ...
Creator's user avatar
  • 495
0 votes
1 answer
360 views

Weak existence for modified Tanaka SDE

Tanaka's theorem (wikipedia) implies that $X_t = |B_t|$ is a weak solution to the SDE $dX_t = dW_t + dL_t^0(X_t)$, where $W_t$ is a Brownian motion and $L_t^0(X_t)$ is the local time of $X_t$ at $0$....
ysys's user avatar
  • 43
0 votes
1 answer
243 views

Weak solutions of linear parabolic PDEs and corresponding SDEs

It is well known that for an Stochastic differential equation (on the real line) of the form: $dX_t = \mu(X_t)dt + \sigma(X_t)dW$ where $W$ is the standard Wiener process, the transition probability ...
Haudor's user avatar
  • 3
0 votes
0 answers
216 views

Hoeffding's lemma for unbounded r.v with bounded exponential map

Let $X$ be a real r.v with $E[e^{\lambda X}] < \infty $ for all $\lambda \in [-c,c]$. Is it possible to get an Hoeffding's lemma like bound on $E[e^{\lambda(X-EX)}]$. That is, an upper bound: $$E[...
niro's user avatar
  • 9
0 votes
0 answers
168 views

A path optimisation problem

Consider a graph of $n$ nodes randomly located in $[0,1]^2$. Each node moves following a path randomly chosen from the set of all possible paths. Regard nodes as attackers. A policeman seeks an ...
lchen's user avatar
  • 367
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0 answers
81 views

Why is $\mathcal{E}(X)=\mathcal{E}(X,X^*)$?

According to a course about $\sigma$-agebras in infinite dimensional space they said that it is easy to see that : $$\mathcal{E}(X)=\mathcal{E}(X,X^*)$$ where: $X$ is separable real Banach space. $\...
Heidy's user avatar
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0 answers
44 views

Is it possible to estimate the Interaction information of three variables without knowing their joint distributions?

I want to have a measure of the "synergy" between two players in a game. Each player has its own win ratio (won/played), which I'm modeling as two binomial distributed random variables X and Y. A ...
Mario Tambos's user avatar
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0 answers
260 views

Concluding that the Poisson kernel is indeed the Cauchy distribution?

See here. Let $d = 2$, and consider the domain $D = \mathbb{H}$, the upper half-plane. Let $W_t = (X_t, Y_t)$. We see that for any $\theta \in \mathbb{R}$ and any $t \ge 0$, we have$$E^{(x, y)}\...
Edward Hoenn's user avatar
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1 answer
186 views

Poisson kernel, $E^{(x, y)}\text{exp}\{i\theta X_t - \theta Y_t\} = e^{i\theta x - \theta y}$

Let $d = 2$, and consider the domain $D = \mathbb{H}$, the upper half-plane. Let $W_t = (X_t, Y_t)$. How do I see that for any $\theta \in \mathbb{R}$ and any $t \ge 0$, we have$$E^{(x, y)}\text{exp}\{...
user avatar
0 votes
1 answer
81 views

An asymptotic set containment problem [closed]

Given a set of $n\in\Bbb N$ integers $\mathcal S$, suppose we choose two sets: $$\mathcal S_{\mathsf{small}}\subseteq\mathcal S$$ $$\mathcal S_{\mathsf{big}}\subseteq\mathcal S$$ with cardinalities ...
user avatar
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0 answers
355 views

Summing up costs over a Markov chain

I apologize in advance if this question is too simplistic to be appropriate for MathOverflow. I have inquired in multiple places but have found little to indicate that this is a previously studied ...
Marcus Emilsson's user avatar
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0 answers
76 views

What is the success probability of this stochastic process?

Suppose you have $k$ black balls and $X\cdot k$ white balls. The procedure start with you having a bag containing $y\le k$ white balls (e.g. $k+1,\ldots k+y$). In every iteration: A single white ...
T J's user avatar
  • 1
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0 answers
2k views

Probability two random intervals overlap

I'm working on an algorithm for orthogonal line intersection detection and am trying to analyze some things about it. For simplicity, we can consider the problem as follows: Given N randomly ...
Nisrak's user avatar
  • 101
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0 answers
194 views

Derivative of a cdf with respect to a parameter

Given two independent Random Variables $X$ and $Y$ with known distributions, I would like to know if I can say that the expression $$ \operatorname{Pr}( f (t'+Y-X)+Y-X < z) $$ is increasing in ...
user2784810's user avatar
0 votes
0 answers
117 views

Ergodicity property for continuous-time Harris positive Markov process

I have posted this question on there, but got no answer. The following theorem is Theorem 13.3.3 of Meyn and Tweedie's Markov Chains and Stochastic Stability on page 328: Theorem 13.3.3. If $\Phi$ ...
Danielsen's user avatar
  • 109
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0 answers
104 views

Why is this distribution exponential?

Take the interval $[0, 1]$. Now sample 10000 points in this interval randomly according to the uniform distribution. The fact is that the distribution of the distances between adjacent points on ...
wdlang's user avatar
  • 193
0 votes
0 answers
165 views

Expected length of minimum spanning trees

For a simple, finite, connected and complete graph $K_n = (V(K_n), E(K_n))$ with vertex set $V(K_n)$ and edge set $E(K_n)$, we assign a non-negative independent and identical distributed random weight ...
Sam 's user avatar
  • 1
0 votes
0 answers
73 views

conditionning by a Gaussian field

I know that if $(X,Y)$ is a Gaussian vector, then $(X|Y=y)$ is a Gaussian vector which covariance matrix is explicit in function of the covariance matrix of $(X,Y)$, and does not depend on $y$. What ...
kaleidoscop's user avatar
  • 1,352
0 votes
0 answers
320 views

Gromov-Hausdorff distance measure between minimum spanning trees

I am trying to compare minimum spanning trees through time. I have two questions: 1-Is it possible to measure the similarity between two minimum spanning trees with Gromov-Hausdorff distance measure ...
Sam's user avatar
  • 1
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0 answers
119 views

Estimating the number of colors in a bucket

This question was previously posted to Math Stack Exchange here. Suppose we have a bucket containing a large (but known) number of balls. Each of the balls has a color. We don't know how many colors ...
David Zhang's user avatar
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