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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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Inequality constraints, probability distributions, and integer partitions

I am interested in the possibility of generating probability distributions using inequality constraints. For instance assume that we have three urns with total of a 10 balls. Thus, $a + b + c = 10$ ...
Jonathan Fischoff's user avatar
9 votes
4 answers
19k views

Sum of Log Normal random variables [closed]

I would be grateful to anyone who could provide me with some reference concerning the behavior of the sum of Log Normal random variables (need not independent) with respect to a Log Normal random ...
The Bridge's user avatar
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17 votes
2 answers
2k views

Random walk is to diffusion as self-avoiding random walk is to ...?

One can view a random walk as a discrete process whose continuous analog is diffusion. For example, discretizing the heat diffusion equation (in both time and space) leads to random walks. Is there a ...
Joseph O'Rourke's user avatar
1 vote
1 answer
4k views

Does the translation of a random variable preserve its distribution type? [closed]

This might be a very silly question, but I just wanted to make sure I have all the right steps. Suppose we have a univariate continuous random variable $X$, with some pdf and cdf ${{f}_{X}}(x)$ and $...
baudolino's user avatar
  • 139
4 votes
1 answer
222 views

Does positive density imply existence of the density for some part of a decomposition?

Suppose a $\mathcal{H}^{1}$ measurable set $A\subset \mathbb{R}^{n}$ has positive Hausdorff density $\Theta^{1}(\mathcal{H}^{1},A,x)=c>0$ in a point $x\in A$. If we have a decomposition $A=B\cup ...
Sebastian Scholtes's user avatar
9 votes
2 answers
674 views

Small crown probabilities (and infinite dimensional margin assumption)

My question is: How do I find sharp upper bounds on $P(|q|\leq \epsilon)$ uniformly over a set of gaussian polynomes $q$ of degree two. Notations and definitions (to make the question rigorous) Let ...
2 votes
1 answer
419 views

Approximation of the law of a stochastic process

Hello Dear fellows, I thank you in advance for your help and ideas. I have just read an article and want you to help me understand the rational behind a part of it. We have two processes $v_t$ and $...
Averroes's user avatar
  • 375
6 votes
2 answers
912 views

Path continuity for (closed) martingales?

Take a time interval $[0,T]$, and a filtered probability space $(\Omega,P,\mathcal{F},\mathcal{F}_t)$. If $X \in L^1(\mathcal{F}_T)$, then $M_t = E [X \ | \ \mathcal{F}_t]$ is a martingale. If I ...
weakstar's user avatar
  • 943
11 votes
0 answers
426 views

Maximizing the volume in a family of subsets of a cube

Starting from a question in probability, I arrived to the following optimization problem. Let $I:=[0, 1],$ and let $A$ be a Lebesgue measurable subset of the $n$-dimensional cube, $A\subset I^n.$ ...
Pietro Majer's user avatar
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2 votes
0 answers
477 views

What is Being Counted? [closed]

There are two urns. One contains five white balls. The other contains four white balls and one black ball. An urn is selected at random and a ball in that urn is selected at random and removed. ...
Martin Erickson's user avatar
1 vote
1 answer
257 views

Two-Dimensional Gobbling Algorithm

Let (m,n) be an ordered pair of positive integers. While m>0 and n>0, let k_1 be a random positive integer between 1 and m and k_2 a random positive integer between 1 and n. Output (k_1,k_2). Let ...
Martin Erickson's user avatar
8 votes
2 answers
4k views

Infinite sum of random variables: subtle convergence question?

I have a sequence Xj of random variables, each of which individually is uniformly distributed on the unit circle in the complex plane, and a corresponding sequence cj of positive coefficients. My ...
Greg Martin's user avatar
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5 votes
2 answers
3k views

Whitening a random bit sequence

Given an (infinite) stream of uncorrelated random bit with a known "reasonable" bias (say 15-85% 1's) I want to whiten it, e.i. produce a shorter stream of bits that has no bias. The restriction is ...
BCS's user avatar
  • 205
15 votes
3 answers
6k views

Is there a central limit theorem for bounded non identically distributed random variables?

I have a sequence of centered independent random variables $X_i$ that are all bounded by one in absolute value. They are not identically distributed, though. I would like to know if the central limit ...
Caroline Fontaine's user avatar
4 votes
1 answer
232 views

Negative Association of Component Size in Random Hypergraph

I have a $d$-uniform hypergraph on $n$ vertices with $k$ hyperedges, where $d << k$ and $n = 4k d^2$ or so. The hyperedges are placed independently uniformly at random. I would like to have a ...
Eric Price's user avatar
1 vote
0 answers
308 views

Loynes spaces, also called pseudo-Hilbert spaces

Let me first define my object: First, a locally convex space $Z$ is called admissible in the sense of Loynes if $Z$ is complete There is a closed convex cone in $Z$, called $Z_+$, satisfying (for $x\...
kjetil b halvorsen's user avatar
0 votes
1 answer
665 views

Expectation maximum i.i.d rv´s

If I have a fixed positive integer $N$ and $N$ i.i.d rv´s. $X_1,X_2,...,X_N$, and parameters $a_i$ such that $\displaystyle\sum_{i=1}^N{a_i}=1$, it is well known that there is a global maximum of $...
26 votes
3 answers
11k views

L1 distance between gaussian measures

L1 distance between gaussian measures: Definition Let $P_1$ and $P_0$ be two gaussian measures on $\mathbb{R}^p$ with respective "mean,Variance" $m_1,C_1$ and $m_0,C_0$ (I assume matrices have full ...
robin girard's user avatar
6 votes
1 answer
819 views

Birkhoff ergodic theorem for dynamical systems driven by a Wiener process

At the risk of asking a stupid question I have the following problem. Suppose I have a measure preserving dynamical system $(X, \mathcal{F}, \mu, T_s)$, where $X$ is a set $\mathcal{F}$ is a sigma-...
RadonNikodym's user avatar
4 votes
3 answers
286 views

Medium-Sized Calculations and Organization

This is not a math question as much as a process question. For the first time in my (very short) career, I find myself doing one of those messy calculations, where each 'line' of the calculation can ...
frustrated's user avatar
2 votes
1 answer
1k views

Probability of system failure in a distributed network

I am trying to build a mathematical model of the availability of a file in a distributed file-system. The system works like this: a node $x$ stores a file $f$ (encoed using erasure codes) at $rb$ ...
Yrlec's user avatar
  • 121
5 votes
1 answer
1k views

Concentration of Measure for Power Law

I have a power law distribution $X$ with exponent $c$: $$p(X=t) = \left\\{\begin{array}{cl}(c-1)/t^{c} & t \geq 1 \\\\ 0 & t < 1\end{array}\right.$$ From $X$ I take $n$ independent samples ...
Eric Price's user avatar
2 votes
2 answers
1k views

Mathematics of the Anthropic Principle [closed]

A form of the anthropic principle is as follows: "We can observe the universe only because we can exist within it in some way such that we can observe it, and it exists such that we can observe it." ...
DoubleJay's user avatar
  • 2,383
18 votes
1 answer
2k views

Probability of a point on a unit sphere lying within a cube

Suppose we have a ($n-1$ dimensional) unit sphere centered at the origin: $$ \sum_{i=1}^{n}{x_i}^2 = 1$$ Given some some $d \in [0,1]$, what is the probability that a randomly selected point on the ...
L.Z. Wong's user avatar
  • 1,254
13 votes
5 answers
71k views

How do I convert a uniform value in [0,1) to a standard normal (Gaussian) distribution value?

I have uniform value in [0,1). I'd like to transform it into a standard normal distribution value, in a deterministic fashion. What I'm confused about with the Box-Muller transform is that it takes ...
Joseph Turian's user avatar
3 votes
0 answers
359 views

Infinite System of Stochastic Ordinary Differential Equations Coupled by Infinite Graphs

$\ \ \ $ In Time Evolution of Infinite Anharmonic Systems, Lanford,Lebowitz and Lieb, roughly speaking, proved that for some families of functions $F_v$ $(v\in\mathbb Z^d)$ and a large set of initial ...
Leandro's user avatar
  • 2,044
10 votes
1 answer
527 views

Random geometric graphs and spanners

I would grateful to learn of work mixing random geometric graphs with random graphs under the Erdős-Renyi model, and in particular concerning spanners. Select $n$ points uniformly at random from the ...
Joseph O'Rourke's user avatar
2 votes
1 answer
100 views

Ranking sources at variable(random) frequencies

Hi, I have this math modeling problem that I need help with. If I have 3 data sources, each being updated at different frequencies, what would be the best way to rank them so the less frequent ...
sup's user avatar
  • 23
6 votes
2 answers
1k views

diameter of a graph with random edge weights

Given a weighted directed graph $G=(V,E, w)$, suppose we generate a new graph $G'=(V,E,w')$ with the same vertices and edges, but now letting the weight of edge $(i,j)$ be an exponential random ...
alex's user avatar
  • 976
9 votes
1 answer
1k views

Vertex connectivity of random graphs?

Consider simple, undirected Erdős–Rényi graphs $G(n,p)$, where $n$ is the number of vertices and $p$ is the probability for each pair of vertices to form an edge. Many properties of these graphs are ...
Justin Melvin's user avatar
14 votes
3 answers
8k views

Analog of Chebyshev's inequality for higher moments

I have a positive random variable $X$ with $E[X] = 1$ and a small number $k$ more moments bounded by constants: $$E[(X-1)^i] = O(1) \forall i \in \{2, ..., k\}.$$ I'd like to bound the average of $n$...
Eric Price's user avatar
4 votes
2 answers
258 views

near independence of markov chain observations at high lags

I have to simulate independent draws from a very complicated distribution. They only feasible way appears to be using MCMC. I was considering running thousands of chains in parallel, but that would ...
Arin Chaudhuri's user avatar
9 votes
1 answer
1k views

Points on binary hemispheres of the n-sphere

Let $\mathbb{S}^{n-1}=${$ x\in \mathbb{R}^n| \sum_{k=1}^n x_k^2 =1 $} be the $n-1$ sphere and $n_i\in\mathbb{R}^n$ with components $n_{ij}\in${$-1,1$}$\ \forall\ j=1,2,\dots,n$. There are obviously $2^...
unknown's user avatar
  • 91
-2 votes
1 answer
292 views

Probability distribution needed [closed]

Let me clarify my needs. The PDF must comply to: 1. The mean is always in the shorter tail 2. Should have an inverse function 3. Be defined in the interval [0, 1] 4. Should have a shape parameter that ...
Paulo Andrade's user avatar
20 votes
5 answers
1k views

Iterated Circumcircle

Take three noncollinear points (a,b,c), compute the center of their circumcircle x, and replace a random one of a,b,c with x. Repeat. It seems this process may converge to a point, assuming no ...
Joseph O'Rourke's user avatar
5 votes
6 answers
2k views

Are all probabilities conditional probabilities? [closed]

We know that $P(A\mid B) = \frac{P(A \cap B)}{P(B)}$. So $P(B) = P(A\mid B)P(A \cap B)$. Thus are all probabilities conditional probabilities? Can one make a probability more accurate by introducing a ...
Tony 's user avatar
  • 59
4 votes
1 answer
495 views

A probability exercise related to Central Limit Thm

This exercise appears in K.L.Chung's A Course in Probability Theory, Chapter 7. Ex.7.1-4 Let ${X_j}$ be independent r.v.'s such that $\max_{1\leqslant j\leqslant n} \frac{|X_j|}{b_n} \to 0$ in pr. ...
AlgSoul's user avatar
  • 41
6 votes
0 answers
261 views

subrandom walkers

Does anyone know of any work on the following model or variants thereof?: Finitely many chips are distributed on the integers at time 0. To find the distribution at time $t+1$, take all the chips at ...
James Propp's user avatar
  • 19.7k
12 votes
4 answers
4k views

Mixtures of Gaussian distributions dense in distributions?

It seems that a mixture of Gaussians can approach any probability distribution, as the number of mixture components approaches infinity. Is this true? And if so, is it precise and correct to say ...
Azure's user avatar
  • 141
5 votes
4 answers
629 views

Process equivalent to conditional probability

Hi, Having a random variable $X$ I am trying to find a stochastic process $Z_t$ such that: $$P[Z_t>T] = P[X > T | X > t]$$ for all $T>t$, or a proof that such a process does not exist. ...
Grzenio's user avatar
  • 667
5 votes
3 answers
945 views

An Integral and derived double integral

Suppose that $f\left(x\right)\geq0$ is continuous on $\left[-\infty,\infty\right]$ and $\int_{-\infty}^{\infty}f\left(x\right)dx=1$. Is it true that $\int_{-\infty}^{\infty}\left|x\right|f\left(x\...
user4606's user avatar
5 votes
1 answer
623 views

For which values of $N$ is known the Lieb-Simon Inequality for $Z_N$ Models ?

Background: Let $\mathbb Z^d$ denote the $d$-dimensional integer lattice with norm $|x|=\sum_i|x_i|$. For each $x\in\mathbb Z^d$ we associate a spin variable, $\sigma_x$ taking values on the set $\{...
Leandro's user avatar
  • 2,044
5 votes
1 answer
1k views

Feynman Kac Formula as appears in Krzysztof Gawedzki's Lectures on conformal field theory

The lecture notes appeared in the second volume of "Quantum Fields and Strings, a course for mathematicians". I would like to understand the derivation of (1.3), the 2-point correlation function: $$ \...
John Jiang's user avatar
  • 4,466
15 votes
3 answers
2k views

entropy and flatness of densities

I was reading C.R Rao's Linear Statistical inference. Rao presents the entropy of a continuous distribution (expectation of -log density) as a measure of closeness to the uniform distribution, and ...
Arin Chaudhuri's user avatar
8 votes
1 answer
4k views

Skellam distribution: Deep connection between Poisson distributions and Bessel function?

The probability mass function for the Skellam distribution for a count difference $k=n_1-n_2$ from two Poisson-distributed variables with means $\mu_1$ and $\mu_2$ is given by: $$ f(k;\mu_1,\mu_2)= ...
vonjd's user avatar
  • 5,935
2 votes
1 answer
467 views

Distribution on permutations derived from probability of pairwise orderings

A followup question to Probability estimates for pairwise majority votes - I think it doesn't actually give an answer in any terribly precise sense, but it would give something I'd be happy to use in ...
David R. MacIver's user avatar
0 votes
2 answers
429 views

E[log(Z_t^2)], proof of convergence with Law of Large Numbers

Hi all, question: Let $Z_t$ be an iid sequence with $$\mathbb{E}\log(Z_t^2)<0 $$ Show that $$\sum_{j=0}^\infty Z_t^2 Z_{t-1}^2 ... Z_{t-j}^2 < \infty$$ almost surely I am supposed to use LLN ...
Vytautas's user avatar
  • 109
4 votes
2 answers
2k views

Is the truncated Brownian motion of the class DL?

Let $W$ be a standard Brownian motion under given probability space. For a given constant $a$, $W^a$ is a truncated Brownian motion by stopping time $T^a = \inf(t>0:W(t) = a)$. That is, $W^a(t) = ...
kenneth's user avatar
  • 1,399
1 vote
2 answers
1k views

Sum of digits iterated

Original version. I believe that it is an elementary question, already discussed somewhere. But I just have no idea of how to start it properly. Take a positive integer $n=n_1$ and compute its sum of ...
Wadim Zudilin's user avatar
2 votes
0 answers
313 views

Finding jump probabilities from mean-occupancy values for positions on a one-dimensional random walk

Please imagine a discrete random walk on a one-dimensional lattice. The lattice consists of a set of $L$ positions, $(x_0, x_1, ..., x_L) \in L$, where $x_0$ is the initial position of the walk (as ...
Rob Grey's user avatar
  • 599

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