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5 votes
2 answers
4k views

Does central limit theorem hold for general weakly dependent variables?

Say I have $X_{ij}$, $j \le i$ with the property that $X_{ij}$ are centered and identically distributed and $E(X_{ij} X_{ij'}) = o(\exp(-i)))$. Then does $\sum_j X_{ij}$ have Gaussian domain of ...
John Jiang's user avatar
  • 4,466
11 votes
2 answers
819 views

Estimate rate of real correct/wrong from 4 answers quiz.

I recently read that one in ten students think the first man on the moon was Buzz Lightyear, a Toy story cartoon. I'm not here to discuss the data in itself, rather, this reading got me into a problem ...
Stefano Borini's user avatar
4 votes
1 answer
468 views

When is a 1-block factor of a non-Markovian process Markov?

Let $Y$ be a discrete stationary stochastic process. Suppose that $Y$ is not $n$-step Markov for any positive integer $n$. Let $Z$ be a 1-block factor of $Y$. For what condition on $Y$ or the ...
Stephen Shea's user avatar
4 votes
1 answer
2k views

Stein's method proof of the Berry–Esséen theorem

The relevant paper is "An estimate of the remainder in a combinatorial central limit theorem" by Erwin Bolthausen. I would like to understand the estimate on page three right before the ...
John Jiang's user avatar
  • 4,466
2 votes
1 answer
875 views

method of moments and Laplace transform from Shepp and Lloyd

Again from the Shepp and Lloyd paper "ordered cycle lengths in a random permutation", I found this puzzling equality. This one might require access to the paper itself since it's quite a mouthful: In ...
John Jiang's user avatar
  • 4,466
3 votes
3 answers
568 views

Reference request for a "well-known identity" in a paper of Shepp and Lloyd

I ran into a "well-known identity" on page 345 of Shepp and Lloyd's On ordered cycle lengths in a random permutation: $$\int_x^{\infty} \frac{\exp(-y)}y dy = \int_0^x \frac{1-\exp(-y)}y dy - \log x - \...
John Jiang's user avatar
  • 4,466
6 votes
2 answers
480 views

Limit law for the number of local maxima in a square lattice of IID random variables

For $i, j \in \{ 1, \ldots, n \}$, let $X_{i,j}$ be a real-valued random variable uniformly distributed on the interval $[0,1]$. The $X_{i,j}$ are independent. Let $A_{i,j}$ be the indicator random ...
Michael Lugo's user avatar
21 votes
5 answers
4k views

Existence of probability measure defined on all subsets

Let $S$ be an uncountable set. Does there exist a probability measure which is defined on all subsets of $S$, with $P({x}) = 0$ for any element $x$ of S ? If I remove the condition $P({x}) = 0$, then ...
Cosmonut's user avatar
  • 581
12 votes
3 answers
8k views

Constructing Bernoulli random variables with prescribed correlation

For which $n \times n$ correlation matrix $C$ can one construct Bernoulli random variables $(B_1, \ldots, B_n)$ with correlation $C$ ? Following the approach described in this MO thread, one can ...
4 votes
2 answers
679 views

Generalized binomial coefficients and Gaussian density

I ran into an expression calculating the expected value of $\exp(i t \sigma)$ where $\sigma$ is the total number of cycles in a uniformly chosen $S_n$ element. The expression is $$E_n (\exp(i t \sigma)...
John Jiang's user avatar
  • 4,466
5 votes
1 answer
400 views

Is the average first return time of a partitioned ergodic transformation just the number of elements in the partition?

For some reason my thinking is very fuzzy today, so I apologize for the following rather silly question below... Let $T$ be an ergodic transformation of $(X,\Omega, \mathbb{P})$ and let $X$ be ...
Steve Huntsman's user avatar
21 votes
4 answers
2k views

Motivation for strong law of large numbers

I always find the strong law of large numbers hard to motivate to students, especially non-mathematicians. The weak law (giving convergence in probability) is so much easier to prove; why is it worth ...
Nate Eldredge's user avatar
17 votes
5 answers
4k views

Brownian motion and spheres

Consider a Brownian motion on $[0;1]$. A (finite) discrete approximation of this Brownian motion consists of $N$ iid Gaussian random variables $\Delta W_i$ of variance $\frac{1}{N}$: $$ W\left(\frac{k}...
Alekk's user avatar
  • 2,133
5 votes
1 answer
548 views

Are there interesting problems involving arbitrarily long time series of small matrices?

Are there well-known or interesting applied problems (especially of the real-time signal processing sort) where arbitrarily long time series of small (say $d \equiv \dim \le 30$ for a nominal bound, ...
Steve Huntsman's user avatar
18 votes
3 answers
8k views

Number of invertible {0,1} real matrices?

This question is inspired from here, where it was asked what possible determinants an $n \times n$ matrix with entries in {0,1} can have over $\mathbb{R}$. My question is: how many such matrices ...
Tony Huynh's user avatar
  • 32.1k
3 votes
3 answers
316 views

Finding a distribution family that is preserved under mixture.

Consider the following $f_{t+1}(z)=p_{12} f_{t}(z/A)+ p_{21} f_{t}(z/B)+p_{22} f_{t}(z/(A+B))$, where $A$, $B$, and the $p$'s are constants and $f_t$ is a probability distribution. Are there any nice ...
David Shor's user avatar
0 votes
1 answer
359 views

a unique solution ? iteration involving conditional distributions

consider the following mappings, G and T, $y(s) = Gx(s)=\exp\left[\sum_{s'}p(s'|s)\log x(s') \right]$ $z(s) = Ty(s)=\sum_{s'}q(s'|s)y(s')e^{-r(s')}$ where $0< x(s)\leq 1$ ,$r(s)<0$ , $s,s'\in ...
rubin's user avatar
  • 1
8 votes
3 answers
3k views

Is there any finitely-long sequence of digits which is not found in the digits of pi? [closed]

I know it's likely that, given a finite sequence of digits, one can find that sequence in the digits of pi, but is there a proof that this is possible for all finite sequences? Or is it just very ...
sep332's user avatar
  • 121
-1 votes
3 answers
304 views

Distribution under operations

Let $X$, $Y$, $Z$, and $W$ be i.i.d. copies of a standard gaussian variable, that is in distribution $\mathcal{N}\left(0,1\right)$, then what is the distribution of $\left|\frac{XY}{Z}-W\right|$? ...
user4606's user avatar
1 vote
2 answers
791 views

Likelihood function for sequential random variables

Context Consider the following sequential data generating process for $Y_1$, $Y_2$, $Y_3$. (By sequential I mean that we generate $Y_1$, $Y_2$, $Y_3$ in sequence.): $Y_1 = X_1^' \beta + \epsilon_1$ ...
vad's user avatar
  • 346
3 votes
5 answers
2k views

Probabilities and rolling 2 dice

Suppose you start at position 0. You then roll 2 6-sided dice. You move to the integer, call it z, that is the sum of the two dice. You then roll again. If the result of the roll is z', you move ...
Stephen Shea's user avatar
9 votes
2 answers
659 views

Symmetric groups and Poisson processes

Consider the number of fixed points in a permutation chosen uniformly at random from the symmetric group on $n$ elements - this gives a probability distribution. For $k < n$, the $k$-th moments of ...
Scott McKuen's user avatar
2 votes
1 answer
2k views

Statistical test comparing two relative frequencies

I'm working with four populations consisting of true/false events. They each have a different mean and variance. I have samples from each, with different sample sizes. Call the percentage of observed ...
Claudiu's user avatar
  • 597
0 votes
0 answers
574 views

What's the expected number of iterations for this process?

Each step of the process consists of choosing a random integer between 1 and the last number chosen this way. On average, how long does it take to obtain "1" as a result of this process for any given ...
Asher's user avatar
  • 25
98 votes
17 answers
123k views

Google question: In a country in which people only want boys [closed]

Hi all! Google published recently questions that are asked to candidates on interviews. One of them caused very very hot debates in our company and we're unsure where the truth is. The question is: ...
nkrkv's user avatar
  • 1,107
-1 votes
3 answers
3k views

Monte Carlo method and possible applications to computer poker?

I want to do something about ”games of incomplete information“,like "Computer poker program".I know,Albert university(in canada) have do a lot of things to that field,they write a program called: "...
Xian_milk's user avatar
1 vote
3 answers
246 views

Extreme value theory

I have been asked to provide an "approximation at infinity" of an expression that at the end simplifies to $-\frac{b e^{-a t}-a e^{-b t}}{a-b}$, in a course about extreme value theory. In the course, ...
JOspina's user avatar
  • 19
2 votes
2 answers
254 views

Nice way to parametrize a bunch of non-independent discrete random variables

I'm looking for a "nice" way to parametrize the joint distribution of multiple, possibly correlated discrete random variables on {0,1}. Even for N=2, there doesn't seem to be an obvious way to do it. ...
David Shor's user avatar
20 votes
3 answers
1k views

The probability for a sequence to have small partial sums

The question Let $a_1,a_2,\dots,a_n$ be a sequence whose entries are +1 or -1. Let t be a parameter. My question is to give an estimate for the number of such sequences so that $|a_1+a_2+\dots ...
Gil Kalai's user avatar
  • 24.7k
7 votes
2 answers
404 views

Examples of Slowly Mixing Chains in Statistics

This should probably be community wiki, but I don't know how to set that myself. I'm looking for examples or Markov chains that are used in statistics or statistical physics, and which are known to ...
StatsWriter's user avatar
18 votes
1 answer
872 views

What's the probability that k + n^2 is squarefree, for fixed k?

While playing around with this question (when is the sum of two squares squarefree?), from some experimental computations (and bolstered by the fact that the density of squarefree positive integers is ...
Michael Lugo's user avatar
2 votes
1 answer
321 views

How to show that an infinite sequence is normal if and only if every block of equal length appears with equal frequency?

An infinite sequence is normal if all strings of equal length occur with equal asymptotic frequency. Formally, let $\Sigma$ be a finite alphabet of $b$ digits. Let $S$ be an infinite sequence and $\...
Zeyu's user avatar
  • 537
18 votes
2 answers
2k views

Big Picture: What is the connection of Malliavin calculus with differential geometry?

I know that Paul Malliavin was heavily influenced by ideas from differential geometry while developing his calculus on Wiener space. But what are the concrete analogies between both areas of ...
vitp's user avatar
  • 313
19 votes
7 answers
3k views

A geometric interpretation of independence?

Consider the set of random variables with zero mean and finite second moment. This is a vector space, and $\langle X, Y \rangle = E[XY]$ is a valid inner product on it. Uncorrelated random variables ...
angela's user avatar
  • 415
4 votes
2 answers
2k views

Convergence of Gaussian measures

Let $X$ be a separable Banach space with its Borel $\sigma$-algebra $\mathcal F$. Let $x_n \to x$ in $X$. Fix a Gaussian covariance operator $K$, and let $\mathbb P_n$ and $\mathbb P$ be Gaussian ...
Tom LaGatta's user avatar
  • 8,512
3 votes
1 answer
295 views

Finitarily Markovian Finite Factors of Bernoulli Schemes

By processes, I mean discrete, stationary stochastic processes, that is $(X,\mathcal{U},\mu,T)$ where $X$ is the set of doubly infinite sequences of some alphabet $A$, $\mathcal{U}$ is the $\sigma$-...
Stephen Shea's user avatar
6 votes
1 answer
3k views

Minimum Hamming Distance Distribution in a Random Subset of Binary Vectors+

Select $K$ random binary vectors $Y_i$ of length $m$ uniformly at random. Let the following collection of random variables be defined: $X_{i,j}=w(Y_i \oplus Y_j)$ where $w(\cdot)$ denotes the Hamming ...
kodlu's user avatar
  • 10.4k
5 votes
3 answers
2k views

Binomial distribution parity

Let $X \text{~} \text{Binomial}(n, p)$. What is $\text{P}[X \mod 2 = 0]$? Is it of the form $1/2 + O(1/2^n)$?
Marc's user avatar
  • 265
4 votes
1 answer
862 views

Generalized Cox Theorems, valuations on boolean sets, bayesian probabilities and posets

Bayesian probabilities are usually justified by the Cox theorems, that can be written this way: Under some technical assumptions (continuity, etc, etc...), given a set $P$ of objects $A, B, C, \ldots$...
1 vote
1 answer
783 views

Probability of n k-sided dice showing exactly m different faces

I found the following closed form solution for the abovementioned problem: $${1\over k^n}\cdot{k!\over (k-m)!}\cdot{\{{n\over m}\}}$$ with ${\{{n\over m}\}}$ being the Stirling Number of the second ...
vonjd's user avatar
  • 5,935
11 votes
2 answers
836 views

Quantum analogue of Wiener process

The Wiener process (say, on $\mathbb{R}$) can be thought of as a scaling limit of a classical, discrete random walk. On the other hand, one can define and study quantum random walks, when the ...
Marcin Kotowski's user avatar
6 votes
3 answers
13k views

Probability of one binomial variable being greater than another.

I need to calculate (or bound) the probability that one binomial variable is greater than other. Specifically, if $x \leftarrow B(n,p)$ and $y \leftarrow B(n,q)$, what is the probability that $y \...
user4120's user avatar
15 votes
3 answers
2k views

Disintegrations are measurable measures - when are they continuous?

This is a sequel to another question I have asked. The notion of disintegration is a refinement of conditional probability to spaces which have more structure than abstract probability spaces; ...
Tom LaGatta's user avatar
  • 8,512
11 votes
4 answers
3k views

When does a probability measure take all values in the unit interval?

Let $\mathbb{P}$ be a probability measure on some probability space $(\Omega,\mathcal{A})$. Are there conditions on the $\sigma$-algebra $\mathcal{A}$ such that for every real number $c\in [0,1]$ we ...
vitp's user avatar
  • 313
4 votes
2 answers
1k views

Can we extract information about how fast a function decay from its Laplace transform?

My question is whether we can extract information about how fast an integrable function converges to zero by looking at the asymptotics of its Laplace transform. More concrete case, let $f:\mathbb{R} ...
gondolier's user avatar
  • 1,839
3 votes
2 answers
324 views

How to fill a simplex with almost disjoint cuboids?

There is an algorithm that give us cuboids in $\mathbb{R}^3$, say $Q_1,Q_2,\ldots$, such that $\cup_{i=1}^{\infty} Q_i$ is the simplex with vertices $(0,0,0), (1,0,0) , (0,1,0), (0,0,1)$, and the $Q_i$...
Andrés's user avatar
  • 33
8 votes
3 answers
511 views

MicroArray, tesing if a sample is the same with high variance data.

I'll explain the problem but what I am looking for is a few suggested methods to approach this problem. You don't need to know what a microarray but if you are interested look here link text The info ...
Lisa's user avatar
  • 83
11 votes
2 answers
758 views

Notions of "independent" and "uncorrelated" for subsets of the natural numbers

In probability/statistics, there is a notion of two things being "independent", which would basically mean that any information we can get about one thing has no effect on our (probabilistic)...
Vipul Naik's user avatar
  • 7,320
2 votes
3 answers
2k views

Distribution of the sum of the $m$ smallest values in a sample of size $n$

Let $\mathbf X = [X_1, X_2, \ldots, X_n]^\mbox{T}$ be a vector random variable drawn from a known distribution with CDF $F(x)$. The CDF for the minimum value in $\mathbf X$ is clearly $P[\min_{i=1\...
ESultanik's user avatar
  • 183
6 votes
1 answer
836 views

Peakedness of multimodal distributions

In Probability theory, does there exist some measures of peaked-ness for multi-modal distributions. I guess kurtosis as such would not be a good measure of peaked-ness for multimodal distributions. ...
CSK Varma's user avatar