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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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Puzzle in Martin Gardner book [closed]

What is the official name of this problem? Martin Gardner gives introduction in his book "Math circus". The problem belongs to 1D random walk. What can be read to gain deep insight into this problem? ...
columbus's user avatar
  • 151
-1 votes
1 answer
696 views

Can singular measures be viewed as vanishing distributions? (Answer No!)

Hello, Here is my original question: let $\mu$ be a singular measure with respect to the Lebesgue's measure on $R$. Is it true that $\int \psi \mu(d x)=0$ for any test function $\psi\in C_c^\infty(R)$...
Anand's user avatar
  • 1,649
6 votes
4 answers
2k views

expected number of balls in k emptiest bins

My problem is the following: throw (randomly, independently) $p$ balls in $n$ bins. What is the expected number of balls in the $k$ emptiest bins? I have some results about the expected number of ...
Mc-'s user avatar
  • 71
2 votes
3 answers
629 views

Stochastic Integrals and Cauchy Variables

I hope there is a straighforward literature-pointer here. If I were interested in $\sum_{t=1}^{n} f(t) X_{t}$, where $X_{t}$ consists of independent normal random variables, I could approximate the ...
user146's user avatar
  • 105
4 votes
0 answers
296 views

Weak*-continuity of regular conditional probabilities "in time"

Let $(\Omega, F, (F_t)_{t\geq 0}, \mathbb{P})$ assume that $(X_t)_{t\leq T} $ is some cadlag, real valued stochastic process, not too bad: say something like a Brownian Motion and some Poisson finite ...
Pierre's user avatar
  • 278
9 votes
2 answers
1k views

Did Joseph Doob prove that random sequences don't exist?

In the book "The Mathematical Experience" it says: "An infinite [binary] sequence $x_1, x_2, \ldots$ is called random in the sense of von Mises if every infinite sequence $x_{n_1}, x_{n_2}, \ldots$...
teil's user avatar
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15 votes
1 answer
2k views

Ping-pong relief map of a given function z=f(x,y)

I have an idea to design a type of Galton's Board to "draw" a relief map of a given two-dimensional function $z=f(x,y)$. A typical Galton's Board drops, say, ping-pong balls through a series of evenly ...
Joseph O'Rourke's user avatar
1 vote
3 answers
872 views

Probability that a certain Markov process has produced a given state

I am looking for advice on the following practical problem. Please keep in mind that this came up in a practical application. In the context of Markov chains, we have $N$ states, with $N$ very large....
Szabolcs Horvát's user avatar
4 votes
0 answers
250 views

Number of real solutions of a random equation

Let $(J_{ij})$ be an $n \times n$ random matrix with i.i.d Gaussian centered coefficients with $\displaystyle \mathbb{E}[J_{ij}^2] = \frac{\sigma^2}{n}$. Let the random variable $A_n(\sigma)$ defined ...
user16215's user avatar
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7 votes
1 answer
2k views

Is there a problem with the Wishart distribution?

It seems that the Wishart distribution scales problematically with dimension. I start with some background, which should make the question reasonably understandable to a general math and statistics ...
Andrew's user avatar
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3 votes
1 answer
731 views

name for $\underset{x}{\operatorname{argmin}} \displaystyle\sum\limits_{i=1}^n |x_i - x|$

Given a real-valued data set $ x_1, \dots, x_n $, what do you call the quantity $$\underset{x}{\operatorname{argmin}} \displaystyle\sum\limits_{i=1}^n |x_i - x|$$ This seems like a pretty basic ...
Diogenes Creosote's user avatar
5 votes
1 answer
375 views

Diffusion convergence

Consider diffusion:$$d\eta^x_{t}=\sigma(\eta^x_{t})dW_{t}+\mu(\eta^x_{t})dt,\quad \eta_0^x =x,$$ where $W$ is a Wiener process. We assume that $\sigma,\mu$ are such that the diffusion is well-...
Piotr Miłoś's user avatar
4 votes
2 answers
653 views

Reading Material on Couplings

Does anybody have suggestions on what to read to learn more about couplings pertaining to statistics? I'm working on a research project on Poisson approximations and am looking to perform a coupling ...
KatherineAnne's user avatar
2 votes
2 answers
389 views

Who is the weak* sequential closure of the set of finitely supported measures on the integers?

Let $X$ be a topological space and $Y\subseteq X$, the sequential closure of $Y$ is the set of elements in $X$ that are limit of sequences belonging to $Y$. Let $\mathcal M_{\text{fin}}(\mathbb Z)$ ...
Valerio Capraro's user avatar
4 votes
2 answers
886 views

law of iterated logrithm

Let $(\Omega, \mathcal{F}, P)$ be a probability space, on which $\mathcal{F}_t$ is filtration satisfying general conditions. $W_t$ is a standard Brownian motion. By law of iterated logarithm, one has $...
kenneth's user avatar
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5 votes
2 answers
525 views

Probability of returning to starting point before hitting adjacent point for RW on Z^2

Consider (simple) random walk on $\mathbb{Z}^2$ started at the origin. The probability that the walk returns to the origin before hitting $(0,1)$ is $1/2$. To see this, let $a(x)$ be the potential ...
mfolz's user avatar
  • 269
1 vote
0 answers
169 views

Marginals and Convex Sets

I am looking for a weak convergence of marginals result, in the following type of situation. References to 'related' situations are also very much appreciated. I have a collection of affine ...
user146's user avatar
  • 105
0 votes
0 answers
458 views

Bounding mutual information given bounds on pointwise mutual information

Suppose I have two sets $X$ and $Y$ and a joint probability distribution over these sets $p(x,y)$. Let $p(x)$ and $p(y)$ denote the marginal distributions over $X$ and $Y$ respectively. The mutual ...
Florian's user avatar
2 votes
1 answer
539 views

Compact sets of the complex plane having the K-property ?

I would like to have a better understanding of a notion I've met in the beautiful book of Nikishin and Sorokin "Rational approximation and Orthogonality", since they do not provide examples. As it is ...
Adrien Hardy's user avatar
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3 votes
1 answer
122 views

Standard way of determining if you have enough data to reliably compute success probability

Given $s$ successes in $n$ trials, where $p=\frac{s}{n}$, is there a standard way to determine if I have enough data to compute a meaningful statistic? For example, given $s=1, n=10, p=0.1$, the 95% ...
Tim Harper's user avatar
0 votes
2 answers
435 views

Heavy Tailed Network

In his paper Kronecker Graphs: An approach to modeling Networks Jure et Al, mention that an important property of networks are that they are heavy tailed. I'm trying to get an insight on what this ...
Leon palafox's user avatar
1 vote
1 answer
221 views

Estimating the Distribution of a Very Large Population of Known Size and Unknown Variance

I would like to estimate the distribution of a very large population of known size but unknown mean and variance. I cannot assume anything about the underlying distribution. The values of observations ...
Misha's user avatar
  • 11
4 votes
2 answers
1k views

BM and interpretation of stopping time sigma algebra

Suppose $H$ and $K$ are open subsets of $\mathbb{R}^d$ containing the origin with $H\subset K$, $B_t$ a standard Brownian motion starting at the origin, $\mathcal{F}_t$ its canonical filtration, and $\...
mcecil's user avatar
  • 41
0 votes
1 answer
2k views

What is the orthonormal basis for the Bergman space on the disk?

[EDIT by YC: the original question's title asked about a basis for the Hardy space on the disk. It is clear from the actual question that what was meant was the Bergman space.] In arXiv:0310.5297, ...
john mangual's user avatar
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1 vote
0 answers
203 views

Probability and information. The burrel-bucket-glass problem.

Suppose we have a barrel with three different kinds of marbles: red, green and blue. The probability to find a red marble in the barrel is R0, analogously the probability for green is G0 and for blue ...
Natxo's user avatar
  • 19
1 vote
1 answer
636 views

Does anyone know an example of non-separable $L^1$ of a probability space?

It is easy to give examples of non-separable $L^p$ spaces by considering a measure on a big space. If one adds the condition that the space has to have total measure 1, the problem is not as easy. ...
Victor's user avatar
  • 96
5 votes
1 answer
404 views

The expectation of $\sqrt{B(n,p)}$

Let $n$ be a growing integer parameter, and suppose that $X_1,\dotsc,X_n$ are independent Bernoulli random variables with the probabilities of success $p_i:={\mathsf P}(X_i=1)$. If $X=X_1+\dotsb+X_n$ ...
Seva's user avatar
  • 23k
2 votes
1 answer
657 views

The finite-dimensional distributions of infinite-dimensional limit of finite-dimensional vectors

Suppose we have the process $\{\varepsilon_t,t\in \mathbb{N}\}$. Suppose that this the finite-dimensional distributions of this process are Gaussian, i.e. for any $t_1,...,t_n$, vector $(\varepsilon_{...
mpiktas's user avatar
  • 203
2 votes
0 answers
454 views

Cover time for a biased random walk on an 'N'-dimensional integer lattice

Imagine that I have a random walk on an $N$-dimensional integer lattice, $Z^N$, of finite dimensions, $(d_1, ..., d_N)$, where boundaries are fully reflecting and the walker is initialized at some ...
Rob Grey's user avatar
  • 599
4 votes
2 answers
662 views

# bridges in random connected graph

Suppose we have an Erdos random graph with $n$ vertices and $c n$ edges. What can you say about the probability that the graph is connected? (More importantly) If it is connected, what is the ...
David Harris's user avatar
  • 3,475
0 votes
1 answer
469 views

Probability formula derivation

How is the following formula derived which yields the probability that the sum of the squares of n random draws from the closed interval [-1,1] is less than one? formula: (1/2^n)*pi^(n/2)/(n/2)!
Mike Pemberton's user avatar
9 votes
2 answers
670 views

Product rules are local and covariance identities are global

Start with the simple identity: $$(f(x) - a)(g(x) - b) + a(g(x) - b) + b(f(x) - a) = f(x)g(x) - ab.$$ If $a$ and $b$ are the respective values of $f$ and $g$ at some point, then, after dividing both ...
Michael Hardy's user avatar
6 votes
0 answers
671 views

Is there a probabilistic interpretation of Dedekind zeta functions?

Reading the interesting paper Honest Bernoulli excursions by Smith and Diaconis motivated the question whether probabilistic interpretations for general Dedekind zeta functions are known. In the ...
user5831's user avatar
  • 2,029
3 votes
0 answers
179 views

How can the topological entropy and $L^2$ mixing rate be related?

For a product of otherwise identical systems evolving at different rates, the toplogical entropy and a quantity very closely related to (indeed, identifiable with a nondegenerate variant of) the $L^2$ ...
Steve Huntsman's user avatar
10 votes
1 answer
936 views

exactly simulating a random walk from infinity

In diffusion-limited aggregation on the square lattice, one lets a particle do "random walk from infinity" until it hits the current aggregate, at which point the site occupied by the particle is ...
James Propp's user avatar
  • 19.7k
10 votes
1 answer
652 views

Extending state space to make a process Feller

Let $X$ be a locally compact Hausdorff space, and let $Y_t$ be a continuous Markov process on $X$ with transition function $P(t, x, \Gamma) := \mathbb{P}_x (Y_t \in \Gamma)$. Let $T_t$ be the ...
Nate Eldredge's user avatar
3 votes
1 answer
1k views

Borel-Cantelli lemma for general measure spaces (those with infinite measure)

The Borel-Cantelli lemma is often stated for a probability space or spaces with finite measure. But it seems to me that it still holds if the space $X$ is of infinite measure. I seem to be able to ...
nootnoot1's user avatar
0 votes
0 answers
163 views

"Reverse" stochastic dominance

Let $\mu$ and $\mu'$ be probability measures on $\lbrace0,1\rbrace^\Lambda,\:\: \Lambda:= {\lbrace 0,1,\ldots,n\rbrace}$. Assume that $\mu(X_i=1|X = \zeta \text{ on } \Lambda \setminus \lbrace i\...
Piotr Miłoś's user avatar
1 vote
0 answers
554 views

How to obtain tail bounds for a linear combination of dependent and bounded random variables?

Hi everyone, Note: This question is a general case and edited version of my previous question ``How to obtain tail bounds for a sum of dependent and bounded random variables?''. I am looking for ...
Farzad's user avatar
  • 197
6 votes
2 answers
4k views

tight bounds on probability of sum of laplace random variables.

Are there tight upper and lower bounds on the density of the sum of $n$ i.i.d laplace random variables that depend on $n$ and the individual laplacian densities?
Vedarun's user avatar
  • 111
4 votes
4 answers
983 views

Is there a good explanation for this fact on pairwise independent variables?

(related question : most general way to generate pairwise independent random variables?) Let $X_1,X_2,X_3,X_4$ be four random variables with standard Bernoulli distribution (i.e. $P(X_i=0)=P(X_i=1)=\...
Ewan Delanoy's user avatar
  • 3,595
25 votes
6 answers
6k views

Proof of Krylov-Bogoliubov theorem

Where can I find a proof (in English) of the Krylov-Bogoliubov theorem, which states if $X$ is a compact metric space and $T\colon X \to X$ is continuous, then there is a $T$-invariant Borel ...
Quinn Culver's user avatar
3 votes
3 answers
2k views

Covariance sign

Hi, Is it true that $Cov[f(X),g(X)]>0$ where $X$ is a random variable of unbounded support and $f,g$ are two strictly increasing real functions? I think by Chebyschev integral inequality I must ...
quema's user avatar
  • 31
13 votes
1 answer
2k views

Counting subtrees of a random tree ("random Catalan numbers")

Given a rooted tree $T$ and an integer $k \geq 1$, let $N_k(T)$ be the number of subtrees of $T$ containing the root and having exactly $k$ nodes (take $N_k(T)=0$ if $T$ has less than $k$ nodes). ...
Louigi Addario-Berry's user avatar
0 votes
1 answer
137 views

Mean of an experiment

Suppose we have a bag of n different balls, and each time m (m<n) balls are taken out for checking from the bag and put back. ...
Sapience's user avatar
12 votes
2 answers
2k views

Probability of having a "perfect" game of Set

The card game Set has very simple rules (see here for rules), and it has prompted mathematicians to ask several questions. I will describe one of these questions. When the game ends, there are usually ...
Anonymous's user avatar
  • 121
4 votes
1 answer
1k views

Sufficient conditions for independence based on moments

Let $P$ be the joint distribution of two random variables $X$ and $Y$, that both have support on $(0,1)$ (I am also interested in the case where $X$ takes values on $k$-dimensional simplex, but I ...
simon's user avatar
  • 233
0 votes
1 answer
275 views

Conditional distribution of the modulus of the output of AWGN channel given the modulus of the input

Hi everyone, I will be too happy if anybody help me find a solution for the following problem. In fact, I have a big problem that I could not solve it for weeks. Assume that we have we have two ...
Farzad's user avatar
  • 197
0 votes
1 answer
774 views

A question on independence

For each natural number $n \geq 2$, define the set $A_n$ to be the set of points $p/n$ with $0 < p < n, \gcd(p,n) = 1$. Now define a sequence of independent random variables $X_1, X_2, \cdots$, ...
Stanley Yao Xiao's user avatar
2 votes
2 answers
715 views

Minimum Mean Square Error (MMSE) and Mutual Information (I)

Consider this setting: $Y=X+N$ where $N$ is a Gaussian standard random variable and $X$ is another arbitrarily distributed r.v. You can think of this $X$ as a message being transmitted over an AWGN ...
Farshid's user avatar
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