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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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how to formalize a notion of symmetric set difference probability? [closed]

I saw in a paper an argument, that seems simple. (Let $\triangle$ be the triangle operator of symmetric set difference between two sets) It states that if $P(A \triangle B) < \epsilon$, for some ...
singelton's user avatar
2 votes
0 answers
560 views

Generalization of repeated error function integral

Is there a name for the following integral? $f(x, y, n) = \int_y^\infty (t - x)^n \exp(-t^2) dt$ The parameter $n$ is positive. The first priority is integer $n$, but more generally the case of real-...
John D. Cook's user avatar
  • 5,227
12 votes
2 answers
997 views

Is there a percolation threshold in the hard discs model?

Take a random configuration of $n$ non-overlapping discs of radius $r$ in the unit square $[0,1]^2$. (You could think of this as taking $n$ points uniform randomly in $[r,1-r]^2$ and then restricting ...
Matthew Kahle's user avatar
1 vote
1 answer
242 views

Measuring the randomness in random numbers

I'm looking to write a program to investigate a few random number algorithms. Basically I am looking to see if the spread of numbers is indeed randomly distributed enough. What kind of statistical ...
DanDan's user avatar
  • 111
11 votes
5 answers
4k views

Brownian motion, martingales, Markov Chains - Rosetta Stone

What are the most fundamental/useful/interesting ways in which the concepts of Brownian motion, martingales and markov chains are related? I'm a graduate student doing a crash course in ...
0 votes
3 answers
848 views

What the the probability distribution of a mean?

There is an unknown set of values of unknown size, from which a known subset of N values is drawn at random. Based on the known random subset, what is the probability distribution of the mean of the ...
sanity's user avatar
  • 269
3 votes
3 answers
942 views

implementations of domino shuffling algorithm

Are there many implementations of the "domino shuffling" algorithm as found in William Jockusch, James Propp amd Peter Shor's Random Domino Tilings and the Arctic Circle Theorem math.CO/...
john mangual's user avatar
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2 votes
6 answers
12k views

2D random walk probability to reach a target

Hello Steve,and others thanks. I was not able to get reference on heat equation which was suggested earlier. Also the links that was proposed on wike are general and nothing rigours for 2D discrete ...
Lakshmi's user avatar
  • 21
8 votes
1 answer
438 views

Potts model simulation

I was wondering what were the state-of-the-art methods to simulate low temperature configurations of Potts-like models that exhibit a discontinuous phase transition. For models with a continuous phase ...
Alekk's user avatar
  • 2,133
62 votes
7 answers
10k views

Why is the Gaussian so pervasive in mathematics?

This is a heuristic question that I think was once asked by Serge Lang. The gaussian: $e^{-x^2}$ appears as the fixed point to the Fourier transform, in the punchline to the central limit theorem, as ...
Randy Qian's user avatar
21 votes
11 answers
4k views

What are some good examples of non-monotone graph properties?

It seems that many, if not almost all, of the properties studied in graph theory are monotone. (Property means it is invariant under permutation of vertices, and monotone means that the property is ...
Matthew Kahle's 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
1 vote
1 answer
152 views

References for Poisson and Lexis trials

I have been trying to find more information on Poisson and Lexis trials (generalizations of Bernoulli trials), but I have failed to find anything outside of MathWorld (I went through a number of ...
Marcus P S's user avatar
3 votes
1 answer
2k views

How to factorize the joint probability of an arbitrary graph whose nodes are random variables?

This question is about graphical modeling of joint probability functions, Markovian property and Markov random fields. Suppose we have an undirected graph G where each node represents a random ...
eakbas's user avatar
  • 453
15 votes
3 answers
2k views

Wiener process related counterexample

The Wiener process is defined by the three properties: 1. $W(0) = 0$, 2. $W(t)$ is almost surely continuous, and 3. $W(t)$ has independent increments with $W(t) - W(s) \sim N(0, t-s)$ (for $0 ≤ s &...
Cosmonut's user avatar
  • 1,101
23 votes
3 answers
1k views

In an inductive family of groups, does the probability that a particular word is satisfied converge?

We have some group word $w$ in $k$ letters. We say a $k$-tuple of group elements $\vec{g} = (g_1, g_2, \ldots , g_k) \in G^k$ satisfies the word $w$ if $w$ gives the identity at $\vec{g}$. More ...
John Wiltshire-Gordon's user avatar
6 votes
1 answer
453 views

The typical size of a random element in a Banach space

Let $X$ be a separable Banach space, and let $\mathbb P$ be a Radon probability measure on $X$ with zero mean and covariance operator $K : X^* \to X$. Let $x$ be an $X$-valued random variable with ...
Tom LaGatta's user avatar
  • 8,512
3 votes
7 answers
4k views

How to tell if two random polynomials are identical

Let t be a positive real number. Let P(x) and Q(x) be two random polynomials with integer coefficients. If P(t) = Q(t), then what is the probability that P(x) is not identical to Q(x)? Will it make a ...
Balaji's user avatar
  • 179
35 votes
1 answer
2k views

Random walk inside a random walk inside...

Let $G=(V,E)$ be a graph and consider a random walk on it. Let $G'=(V',E')$ be a subgraph consisting of the vertices and edges that are visited by the random walk. Question 0: Is there a standard ...
Gjergji Zaimi's user avatar
16 votes
3 answers
2k views

A random walk on random lines

I am wondering if this random walk remains finite with positive probability. Start with three lines $A,B,C$ that are extensions of an equilateral triangle. Let $p_0$ be one corner. Generate a line $...
Joseph O'Rourke's user avatar
7 votes
0 answers
717 views

Is there a continuous-time version of Kingman's subadditive decomposition theorem?

Kingman's subadditive ergodic theorem (see this article) states that if $x_{m,n}$ is a real valued process indexed on the set of pairs of non-negative integers $m < n$ satisfying: $x_{l,n} \le x_{...
Pablo Lessa's user avatar
  • 4,304
3 votes
1 answer
693 views

Sequence of p draws without replacement with biased probabilities

Hi I have a problem which i find hard to modelize. Suppose i have an urn with $N$ marbles. Among these marbles, one is white and all the other ones are black. I draw $P$ marbles without replacement. ...
GuillaumeThomas's user avatar
3 votes
2 answers
919 views

a point process is characterized by its void probabilities

Consider a planar point process $X$ and call $N_A = \text{Card}\big( X \cap A\big)$ the number of points inside the subset $A \subset \mathbb{R}^2$. If one knows the law of $(N_{A_1}, \ldots, N_{A_r})$...
Alekk's user avatar
  • 2,133
4 votes
3 answers
1k views

Imaginary exponential functional of Brownian motion

Thanks to the work by M. Yor and colleagues, much is known about the following exponential of Brownian motion: $X= \int_0^{\infty}{\rm d}t \ e^{-t + g \ B(t)}$ where $g$ is a real scale parameter. ...
Ivan Dornic's user avatar
1 vote
2 answers
4k views

Kalman filtering: 1D case

How will the kalman filtering model look like in the case when I just receive some data and want to filter them from noise? The data is actually an acceleration of some object. So the system must be ...
maximus's user avatar
  • 137
-1 votes
1 answer
247 views

Concentration results for non-standard Gaussian random vectors.

Given a $c$-Lipschitz function $f(X):\mathbb{R}^d \rightarrow \mathbb{R}$, and given that $X \in \mathbb{R}^d$ is a Gausssian random vector centered at $\mathbb{w} \in \mathbb{R}^d$ (not at zero) ...
M Khan's user avatar
  • 11
11 votes
2 answers
2k views

How many non-equivalent sections of a regular 7-simplex?

Suppose we have a regular 7-simplex in $\mathbb{R}^8$ defined by vertices <1,0,0,...,0>, <0,1,0,..,0>,...,<0,...,0,1>. A section is a 3-dimensional linear subspace of $\mathbb{R}^8$ that ...
2 votes
2 answers
625 views

x-th moment method

For a real-valued random variable, $X$, the first moment method, is simply $$P(X\ge\mathbb{E}[X])>0.$$ $\DeclareMathOperator\Var{Var}$This can be extended to the second moment quite easily: $$\...
fkenter's user avatar
  • 316
21 votes
1 answer
3k views

Intuitive Proof of Cramer's Decomposition Theorem

Cramer's decomposition theorem states that if $X$ and $Y$ are independent real random variables and $X+Y$ has normal distribution, then both $X$ and $Y$ are normally distributed. I've seen a few ...
Alex R.'s user avatar
  • 4,952
28 votes
2 answers
2k views

"Are you taller than the average of those who are taller than the average?"

I've met tall people. That is: people taller than the average. Every now and then we encounter really tall people, even taller than the average of tall people i.e. taller than the average of those who ...
Qfwfq's user avatar
  • 23.3k
9 votes
5 answers
1k views

estimate the error term in CLT

Let $X_m = \frac{1}{\sqrt{m}}\sum_{k=1}^m Z_k$ where $Z_k$ are iid equally likely on $\{\pm 1\}$. Then $X_m$ convergens to $X \sim \mathcal{N}(0,1)$ in distribution by CLT. Let $f$ be a smooth ...
gondolier's user avatar
  • 1,839
91 votes
8 answers
16k views

Is there a natural random process that is rigorously known to produce Zipf's law?

Zipf's law is the empirical observation that in many real-life populations of $n$ objects, the $k^\text{th}$ largest object has size proportional to $1/k$, at least for $k$ significantly smaller than $...
Terry Tao's user avatar
  • 114k
3 votes
5 answers
2k views

Recommended book for introduction to Chaotic dynamics? (application in probability distributions)

I'm just starting some research and I need a good introductory book in the topic of chaotic dynamics. Does anyone have a suggestion? Thanks.
Aaron's user avatar
  • 31
7 votes
1 answer
3k views

The question about Kolmogorov tightness criterion

We know about Kolmogorov Criterion for the tightness of a stochastic process $X_n(t)$ 1.The sequence $(X_{n}(0))_{n\geq0}$ is tight. 2.There exist constants $\gamma\geq0$,$\alpha>1$, $K>0$ and ...
syh2010's user avatar
  • 71
0 votes
1 answer
2k views

kalman filter: understanding the mathematical part

i am currently reading the Probabilistic robotics book where the filters are discussed. Such filters as kalman filter or particle filters. Now I can understand one thing while reading about the ...
3 votes
1 answer
578 views

Why doesn't Stein effect happen for multinomial distributions?

(Medeen, et all, 1998)" show that Maximum Likelihood estimate is admissible for multinomial distribution under squared error. On other hand, James and Stein showed that arithmetic average is not an ...
Yaroslav Bulatov's user avatar
8 votes
3 answers
847 views

Random linear recurrence relations

Problem I am interested in the random recurrence relation of the form $x_{n+1}=\alpha x_n \pm \beta x_{n-1}$ where $\alpha$, $\beta$ are known constants and the $\pm$ sign is chosen with equal ...
alext87's user avatar
  • 3,217
24 votes
3 answers
4k views

What upper bounds are known for the diameter of the minimum spanning tree of $n$ uniformly random points in $[0,1]^2$?

Let $P$ be a pointset consisting of $n$ uniformly random elements of $[0,1]^2$. It is known that the diameter (greatest number of edges in any shortest path between two points) of the Delaunay ...
Louigi Addario-Berry's user avatar
5 votes
2 answers
2k views

Process for a Gamma distribution with non integer shape parameter

I am sampling the distribution of lifetimes of computers participating in massive volunteer computing initiatives (BOINC projects). While a phenomenological Weibull distribution makes a good ...
arivero's user avatar
  • 437
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
2 votes
5 answers
4k views

Random walk on a two-dimensional uniform grid

Hi, consider the following random walk on the lattice $\{0,\dots,n\}^2$. It starts at $(0,0)$ and then move either up or right, with probability respectively $p$ and $1-p$. Once it reaches the right ...
Seb67's user avatar
  • 23
0 votes
0 answers
138 views

Why do I not use post hoc tests with a 2 x 2 factorial?

I know this is an obvious answer. I am probably over thinking what I'm doing, but I cannot recall. Does it have to do with not having enough variables to compare the various means?
Mike Kennedy's user avatar
5 votes
0 answers
308 views

Is the nearest walk to Brownian motion approximately uniform?

This is a follow-up to an earlier MO question. Let $W:[0,1]\rightarrow\mathbb R$ be standard Brownian motion with $W(0)=0$. Let $F_n$ denote the collection of all the $2^n$ many piecewise linear ...
Bjørn Kjos-Hanssen's user avatar
13 votes
1 answer
654 views

Is the nearest walk to Brownian motion uniform?

Let $W:[0,1]\rightarrow\mathbb R$ be standard Brownian motion with $W(0)=0$. Let $F_n$ denote the collection of all the $2^n$ many piecewise linear continuous functions $f:[0,1]\rightarrow\mathbb R$ ...
Bjørn Kjos-Hanssen's user avatar
2 votes
0 answers
351 views

Distribution of transformed multinomial variable?

Suppose we have a uniform multinomial distribution over $2^d$ outcomes. Multinomial coefficients give distribution of vector valued variable $v$ where $v$ is the vector of observed counts. Is there a ...
Yaroslav Bulatov's user avatar
14 votes
0 answers
587 views

Why, and how badly, does the proof of "no percolation at the critical point in half-spaces" fail for full spaces?

The proof by Barsky et. al. that there is no percolation in half-spaces proceeds by a dynamic renormalization argument. The proof couples critical percolation in the half-space $\mathbb{H}^d$ with a ...
Louigi Addario-Berry's user avatar
4 votes
2 answers
2k views

Elo Rating System Help with the Maths around number of matches

I'm creating a system that will allow people to rate images. My idea is to use an Elo Rating system (http://en.wikipedia.org/wiki/Elo_rating_system) for each image and then use crowdsourcing to have ...
Barry's user avatar
  • 151
1 vote
2 answers
661 views

Markov chain convergence problem.

Consider a markov chain matrix P of size n x n (n states). P is known to be: 1- there are at least two absorbent states. one of them is denoted by null. (thus, we have that P_null,null = 1) 2- For ...
Gerardo's user avatar
  • 27
7 votes
3 answers
966 views

Expectation of a simple function of multivariate gaussians iid rvs

I would like to compute analytically the following expected value: $$ E\left( \frac{X_i^2}{\sum_j \lambda_j^2 X_j^2}\right) $$ where the $X_i \approx N(0,1)$ are iid. It seems to be an elementary ...
gappy3000's user avatar
  • 461
-2 votes
3 answers
2k views

Convergence of a markov matrix

Consider a markov chain matrix P of size n x n (n states). P is known to be: 1- Not irreducible (i.e. there exist at least a pair of states i, j such that we cannot go from i to j) 2- Not all ...
Gerardo's user avatar
  • 27

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