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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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13 votes
1 answer
6k views

What's the maximum entropy probability distribution given bounds [a,b] and mean?

What is the continuous probability distribution that maximizes entropy, given only the bounds of the random variable [a,b] and the mean mu of the probability distribution? For example: if a=0, b=1, ...
scaramouche's user avatar
4 votes
1 answer
540 views

Continuous Markov Process and Change of Measure

So I've been thinking about a problem for a little bit and I decided it's time to ask those that know more about the subject than I do. I've been working on some Stochastic Calculus (a new area of ...
A. Masssey's user avatar
0 votes
2 answers
521 views

Bounds for number of coin toss switches

I toss $n$ biased coins and I want to count the number of times you get a H followed by a T or a T followed by a H. I call these switches. So for example if I get HHTTHTHHHT then I have $5$ switches ...
Anush's user avatar
  • 11
1 vote
2 answers
4k views

minimum of different independent Poisson random variables

Let $X_1,\ldots,X_N$ be independent Poisson distributed random variables with unequal parameters $\lambda_1,\ldots,\lambda_N$. Is there any closed form expression or at least a good approximation for ...
miladydesummer's user avatar
1 vote
1 answer
104 views

When does the limit of moments of multivariate distributions determine the limit distribution?

Hello I'm sorry if this question is trivial but I haven't been able to find an answer. I'm trying to show that a sequence of distributions on $\mathbb{R}^n$ converges to the normal distribution by ...
NA007's user avatar
  • 13
15 votes
2 answers
6k views

Distribution of inverse of a random matrix

I got stuck into a problem and couldn't find its satisfactory answer anywhere. My question is simple. Suppose I have a fat random matrix (i,e., $R$ has dimensions $k\times d$ where $k<d$) whose ...
Salman's user avatar
  • 151
1 vote
1 answer
291 views

Area under Gaussian sample path curve

Dear All, We know that the coastline paradox is related with fractal dimension of a curve. Now I want to know how to estimate the area under a sample path curve of a Gaussian process: Given a ...
honglangwang's user avatar
11 votes
2 answers
2k views

Balls and bins variation

How many balls have to be thrown uniformly at random into $m$ bins, such that with high probability $n_1, n_2, \dots, n_m$ are distinct numbers, where $n_i$ is the number of balls in bin $i$ ? Is ...
László Kozma's user avatar
1 vote
0 answers
126 views

Conditional probability, deviation from the uniform distribution

Let $N\in\mathbb{N}$ and $G$ the group $\mathbb{Z}/n\mathbb{Z}$. Let $q< N$ and: $a_1, ..., a_q$ pairwise distinct elements of $G$ $b_1, ..., b_q$ pairwise distinct elements of $G$ $x_1, ..., x_q$...
Rodolphe's user avatar
21 votes
1 answer
725 views

What is the best probabilistic estimate from below for a random polynomial on an arc?

I'm currently involved in a small (but quite time consuming) project where we are trying to get some decent bound for the number $N(P)$ of real zeroes of a random polynomial $P(x)=\sum_{k=0}^n\xi_k x^...
fedja's user avatar
  • 61.9k
3 votes
2 answers
543 views

Independence using reflecting brownian motion

Suppose $X$ and $Y$ are two Brownian motions such that $|X|$ and $|Y|$ are independent. Then it is easy to show that $\langle X,Y \rangle =0$ using the Tanaka formula, for example, and thus $X$ and $Y$...
Sandrine's user avatar
1 vote
2 answers
313 views

Apparently simple probability

Hello, Let $x\in[0;1]$ and $(B_i)_i$ be events defined by $P(B_i)\leq x, \forall i$. Furthermore, this inequality is independent of the other events $B_i$ but the events are not necessarily ...
Rodolphe's user avatar
6 votes
2 answers
559 views

Inequality involving the weak second moment

I want to ask the following probability inequality: Is it true that for any random variable $X\ge 0$, we have $$ \sup_{t>0}(t\mathbb E(X\mathbf 1_{X\ge t})) \le 2\sup_{t>0}(t^2 \mathbb P(X ...
honglangwang's user avatar
5 votes
1 answer
502 views

Measurability issues in the proof of Fujisaki, Kallianpur and Kunita for stochastic filtering

I'm currently looking over the proof(s) of the theorem of Fujisaki, Kallianpur and Kunita regarding the MRT-like characterisation of square integrable random variables measurable with respect to the ...
Dominic's user avatar
  • 51
3 votes
0 answers
133 views

What distribution(s) of delays make(s) timing attacks hardest?

$H$ is (Shannon) entropy. In terms of the positive real number $t$, what distribution(s) $\hspace{.01 in}X$ on $\:[0\hspace{.005 in},\hspace{-0.03 in}\scriptsize+\normalsize\infty\hspace{-0.02 in})$...
user avatar
2 votes
0 answers
141 views

Brownian motion above another one.

We define $p_T(f):= \mathbb{P}(\forall_{s\leq T}B_s \geq f(s)-1),$ where $B$ is a Brownian motion such that $B_0 =0$ and $f:\mathbb{R}_+ \mapsto \mathbb{R}$ is some (continuous) function. I am ...
Piotr Miłoś's user avatar
1 vote
0 answers
153 views

Sampling without replacement: probability for total successes from successes in sample?

Consider drawing $n$ balls from an urn containing $N$ balls, of which $m$ are red. If i know $N$, $m$ and $n$ i can use the hypergeometric distribution to calculate the probability that my sample ...
Martin Mayers's user avatar
2 votes
1 answer
324 views

Period of linear congruential generator

This is a cross-post of the unanswered question (the given answer turned out to be incorrect) https://math.stackexchange.com/questions/245591/period-of-linear-congruential-generator . How can you ...
ArtM's user avatar
  • 21
3 votes
0 answers
2k views

derivative of conditional expectation

Suppose $H:\Omega\times X\mapsto Y$ for some borel subset $X\subset \mathbf{R}$, Euclidean space $Y$, and probability space $(\Omega, \mathcal{F},P)$. Further suppose that $H$ is $C^1$ for each fixed ...
ern's user avatar
  • 71
25 votes
3 answers
2k views

Persistent homology of Gaussian fields in Euclidean space

If you generate points in $\mathbb R^n$ via a process that respects a Gaussian normal distribution, then compute the persistent homology / barcodes, to my eye something fairly regular seems to be ...
Ryan Budney's user avatar
  • 44.4k
2 votes
3 answers
532 views

Minimum 1st-neghbors distance between N random points on a ring

We have $N$ points randomly and uniformly distributed on a ring of length 1. Let $d_i$ be the distance between point $i$ and its first neighbor. We want to know the expected value of the smallest $...
Luce's user avatar
  • 23
2 votes
1 answer
396 views

Manhattan distance vs. absorption time on an unbounded integer lattice

Imagine I have unbounded $d$-dimensional integer lattice where I take two vertices, $v_a$ and $v_b$, separated by a fixed Manhattan distance $L$, and I release a random walker at $v_a$ and allow for ...
FloatingForest's user avatar
-2 votes
1 answer
283 views

How to work with infinite random graph(s) ?

Hi, In the case where we are dealing with an infinite random graph (RG with infinite nodes). How do we model/work with notions like degrees, degree distribution ? How are they defined ? Thanks!
Raskol's user avatar
  • 167
0 votes
1 answer
752 views

transform a polynomial into another one upto a constant

I have a polynomial $p(x)=a_Nx^N+a_{N-1}x^{N-1}+\dots+a_0$. I want to convert this into another polynomial of same order, say $b_Ny^N+b_{N-1}y^{N-1}+\dots+b_0$. Is it possible to find a transformation ...
jkt's user avatar
  • 169
1 vote
1 answer
199 views

Backing into a distribution function from an infinite moment sequence

Let's say you are given that $E(X^n)$ = $\frac{n!}{((n+3!)/3!)}$ for a random variable $X$. So the first 4 moments are $\frac{1}{4}, \frac{1}{10}, \frac{1}{20}, \frac{1}{35}$, and so on. Is there ...
Donald Ripley's user avatar
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
14 votes
3 answers
9k views

Solving a Rubik's cube via a series of randomly selected (quarter-turn) Singmaster moves

In July of 2010, Tomas Rokicki, Herbert Kociemba, Morley Davidson, and John Dethridge demonstrated (computationally) that a $3\times3\times3$ Rubik's cube, starting in an arbitrary configuration, can ...
FloatingForest's user avatar
19 votes
2 answers
1k views

Particles chasing one another around a circle

Two particles start out at random positions on a unit-circumference circle. Each has a random speed (distance per unit time) moving counterclockwise uniformly distributed within $[0,1]$. How long ...
Joseph O'Rourke's user avatar
9 votes
2 answers
366 views

Iterating Random Matrix Operations

Consider the following probability measure on the integers concentrated around $0$: the probability of drawing $0$ is $\frac{1}{2}$, of drawing ($1$ or $-1$) is $\frac{1}{4}$ split evenly among the ...
Vidit Nanda's user avatar
  • 15.5k
8 votes
1 answer
2k views

total variation distance between two solutions of SDE

Suppose we have two stochastic differential equations with the same initial conditions: $$d X_t^1= b_1(t,X_t^1)dt + dW_t$$ $$d X_t^2= b_2(t,X_t^2)dt + dW_t,$$ $X_0^1=X_0^2=x_0$; $W_\cdot$ is a ...
Oleg's user avatar
  • 931
4 votes
1 answer
213 views

Practical way to check for geometric convergence

Target distribution is multimodal, 24 dimensions, continuous state space. For MCMC integration (MH sampler) I use a manually tuned proposal distribution. When I measure the convergence rate ...
Anton's user avatar
  • 101
5 votes
1 answer
140 views

Do distinct idempotent measures on finite binary systems have distinct supports?

Suppose that $(S,*)$ is a finite set equipped with a binary operation. Extend the binary operation to the vector space $V$ with basis $S$. The set of probability measures on $S$, viewed as a compact ...
Justin Moore's user avatar
  • 3,547
1 vote
1 answer
140 views

Equivalence between choosing a subspace and choosing its orthogonal

Hi, We consider subspaces of $\mathbb{R}^N$. Suppose that we have a property called $\mbox{Prop}$ that apply to subspaces of $\mathbb{R}^N$. That is to say a function from the set of subspaces of $\...
Saïd L.'s user avatar
8 votes
2 answers
1k views

Sufficient Condition for Exponential Decay in Chernoff Bound (Large Deviations)

Let $X_i$ ($i=1,...,n$) be a sequence of independent and identically distributed random variables. Denote $\mu=\mathbb{E}[X_i]$ and $S_n=\frac{1}{n}\sum_{i=1}^nX_i$. This question concerns the tail ...
jmscarlett's user avatar
2 votes
1 answer
835 views

An optimization problem, non complete bipartite graph and hungarian algorithm

I have two tables at my disposal, one work dataset and one reference dataset. Each dataset has got two columns, lets say these are fields A and B. I would like the rows in reference dataset with the ...
kiriloff's user avatar
  • 123
4 votes
2 answers
2k views

How to solve a specific multivariate recurrence relation (or general ones)

How do you solve this recurrence (or multivariate recurrences in general)? Note that $p\in[0,1]$ and $n\in\mathbb{N}$ are given constants, where $np\leq 1$. $$f:(\mathbb{N}\cup\{0\})\times(\mathbb{N}\...
user29495's user avatar
  • 143
4 votes
2 answers
399 views

Generic words of given weight

Suppose you have an alphabet with countably many letters. Every letter has a particular weight (for instance, as in the game of Scrabble). There are a total of $n^2$ letters that have weight $n$. ...
Dave Futer's user avatar
  • 1,329
5 votes
1 answer
595 views

Additive energy of random sets

Given two random sets $A,B$ in a finite field (say $x\in A$ independently and with probability $1/2$), what is known about the additive energy $E(A,B)=|\{(a,a',b,b')\in A\times A\times B\times B: a+b=...
Joel Moreira's user avatar
  • 1,701
2 votes
2 answers
195 views

Extremal point and probability

Let $(X,\mathcal{F},\mathbf{P})$ be a probability space and $f \colon X \mapsto \mathbf{R}^n$ an integrable function. We assume that $f$ takes its values in a closed convex set $C$ of $\mathbf{R}^n$ ...
Vincent Beck's user avatar
4 votes
1 answer
830 views

Probability that a "closable" self-avoiding random walk forms a polygon

Consider a self-avoiding random walk on an infinite graph (for concreteness, the grid of 2-dimensional lattice points $\mathbb{Z}^2$), in which on each step, the next position is chosen uniformly at ...
Mechanical snail's user avatar
4 votes
1 answer
327 views

Gaussian Valued Random Variables in Geometry of Banach Spaces

Why are Gaussian valued random variables so important in the Geometry of Banach spaces? I am reading the monograph by Pisier - "Probabilistic Methods in the Geometry of Banach Spaces" and in the very ...
Nirman's user avatar
  • 43
0 votes
0 answers
98 views

coupling of projections and projection of the coupling

Let $C$ be a coupling between two measures, $C= \mu^1 \mbox{ } t \mbox{ } \mu^2$ ($t$ is the symbol of binary operator of the coupling (I can't find a more proper symbol here)). The measures are both ...
QuantumLogarithm's user avatar
1 vote
2 answers
520 views

inequality for coupling of measures

Let $X = \prod _{s \in S} \Omega_s$, with $\Omega_s$ finite and all the same, $S$ countable. Let $\mu_1$ and $\mu_2$ be two probability measures on the product space (not necessarily the product ...
QuantumLogarithm's user avatar
11 votes
1 answer
1k views

Integration over the orthogonal group

Let $O(N)$ be the orthogonal group, and $a,b,c\in\mathbb N$. The question is: $$\int_{O(N)}U_{11}^aU_{22}^bU_{33}^cdU=?$$ This is quite a tricky question: (1) The first thought would go to ...
Richard's user avatar
  • 1,363
3 votes
1 answer
673 views

convex combination of two covariance estimates

I am interested in covaraince matrix estimation. In brief: I have two estimates of the covariance matrix, and now I want to form a bona fide convex combination of the two. Background: I have studied ...
Pierre Robert's user avatar
0 votes
1 answer
320 views

Simple markov chain problem

I know this is an easy problem, but I can't figure it out. A particle takes discrete steps $σ_1,σ_2,σ_3,…,σ_n$ which take on values +1 or −1. However, $P(σ_i=+1)=p$ and $P(σ_i=−1)$ will be $1-p$. ...
liana's user avatar
  • 39
3 votes
1 answer
216 views

Does martingale convergence hold for arbitrary time?

Let $\{\mathcal B_i:i\in I\}$ be a family of $\sigma$-algebras (over the same set $\Omega$) which are totally ordered by inclusion, in the sense that for any $i,j\in I$ either $\mathcal B_i\subset\...
Joel Moreira's user avatar
  • 1,701
1 vote
0 answers
199 views

Existence of multidimensional Levy process with dependent structure

Levy process is frequently cited recently. When we come to multidimensional Levy process, the components are usually assumed to be independent. Are there any examples on how to construct a Levy ...
Xu Lin's user avatar
  • 11
6 votes
1 answer
333 views

Trasportation metric (AKA Earth-Mover's, Wasserstein, etc.) as "natural" / "induced"?

Context: Given a discrete finite metric space $X$ (in my case X={0,1}$^n$ with the Hamming/L$_1$ distance), I need to define the natural or canonical metric on the set of all probability distributions ...
Matteo Mainetti's user avatar
1 vote
0 answers
116 views

Proving an asymptotic property regard the fraction of '1' and '0' in binary sequences [closed]

Hello, Consider the set of sequences of zeroes and ones of length $N$ with $k$ ones (or, Np ones where $p=k/N$). We draw randomly and uniformly a sequence from this set. I want to show that with ...
Dan1's user avatar
  • 11

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