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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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31 votes
3 answers
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Expectation of a random sum

Let $X_1, X_2, X_3,\dots$ be an i.i.d. sequence of random variables with finite mean. Write $S_n=X_1+X_2+\dots+X_n$. Let $N$ be a non-negative integer-valued random variable with finite mean. $N$ may ...
James Martin's user avatar
  • 3,937
51 votes
0 answers
2k views

Alternating colors on a line: infinitely often or converge?

Suppose we have intervals of alternating color on $\mathbb{R}$ (say, red / blue / red / blue / …). All intervals have independent length, with all red intervals distributed as $\mathbb{P}_{R}$, all ...
Ngoc Mai Tran's user avatar
9 votes
1 answer
860 views

Random walk on a simple finite network

Consider a graph $\Delta_N = \lgroup (x,y)\in\mathbb{Z}^2| x+y\leq N-1, x\geq 0,\ y\geq 0 \rgroup$ (set of edges is defined in a natural way): see here ). Take a random walker that wonders around ...
Michał Oszmaniec's user avatar
15 votes
3 answers
2k views

Card game / options pricing / Brownian bridge question

We play a game. I shuffle a deck of cards and start dealing them face up. After any card you can say "stop", at which point I pay you 1 dollar for every red card dealt and you pay me 1 for every black ...
Chris Taylor's user avatar
3 votes
1 answer
145 views

mutual hitting measure between two sets

Given disjoint nonempty subsets $X_1, X_2$ of the state space of a finite irreducible Markov chain, there are unique measures $\mu_1$ on $X_1$ and $\mu_2$ on $X_2$ such that (a) starting from a $\mu_1$...
James Propp's user avatar
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6 votes
4 answers
452 views

Counting card distributions when cards are duplicated

If we have a deck of $48$ different cards and $4$ players each get $12$ cards, it is well known how to calculate the number of possible distributions: $\frac{48!}{12!12!12!12!}$ In a german card came (...
Horst Fickenscher's user avatar
4 votes
2 answers
1k views

Supermartingales and convergence

These feel like basic enough questions, but I don't know where to find the answer. Let $X_1,X_2,X_3,\dots$ be a supermartingale such that $|X_{n+1} - X_n| < K$ for all $n$ ($K$ fixed). Does the ...
Colin Reid's user avatar
  • 4,728
0 votes
1 answer
915 views

Can you interpret this divergent integral?

In this ArXiv paper by Wilk and Wlodarczyk (published in Physical Review Letters), equation 16 has essentially the following definition of a function: $$\text{f(x)=}\frac{c}{2Dx^2}\exp[\int^x_0 \frac{\...
SMH's user avatar
  • 33
11 votes
5 answers
2k views

Coin flipping and a recurrence relation

How can one solve the following recurrence relation? $f(n) = 1 + \frac{1}{2^n} \sum_{k = 0}^n {{n}\choose{k}} f(k)$ $f(0) = 0$ As it happens, I can show $f(n) = \Theta(\log n)$ through other means (...
Pradipta's user avatar
  • 501
4 votes
1 answer
1k views

A random walk on natural numbers

We are taking a random walk on the set of natural numbers. If we are at $M$, then with probability 1/4, we stay at $M$, with probability 5/12 we move to some random number less than or equal to $M/2$, ...
Hej's user avatar
  • 1,045
2 votes
2 answers
6k views

A "random variable" with infinite value

A random variable (r.v.) is a (measurable) fucntion from probability space $\Omega$ to $\mathbb{R}$. In our applied problem, the best model would be an extended "r.v." from $\Omega$ to $\mathbb{R}\cup\...
Bogdan's user avatar
  • 21
4 votes
2 answers
2k views

finding numbers at k hamming distance

Guys, I have N < 2^n randomly generated n-bit numbers stored in a file the lookup for which is expensive. Given a number Y, I have to search for a number in the file that is at most k hamming dist....
mexx's user avatar
  • 43
7 votes
0 answers
396 views

Stable distributions for Lindeberg exchange strategy?

Terence Tao has mentioned the importance of the Lindeberg exchange strategy, citing as an application how it was used in the proofs of some recent results relating to universality laws for random ...
András Salamon's user avatar
19 votes
0 answers
988 views

On random Dirichlet distributions

Fix a dimension $d\ge2$. Let $Q_d$ denote the positive quadrant of $\mathbb{R}^d$, that is, $Q_d$ is the set of points $\mathbf{x}=(x_i)_i$ in $\mathbb{R}^d$ such that $x_i>0$ for every $i$. For ...
Did's user avatar
  • 5,721
12 votes
1 answer
5k views

Martingales in both discrete and continuous setting

I am wondering, polynomials like $S_n^4-6n S_n^2+3n^2+2n$ for $$S_n=\sum_{i=1}^n{X_i}$$ where $$\mathbb{P}(X_i=1)=\mathbb{P}(X_i=-1)=\frac{1}{2}$$ is a martingale (under the conventional filtration). ...
Qiang Li's user avatar
  • 255
3 votes
1 answer
2k views

probability question regarding brownian motion

I am wondering where to start with questions like: Given a BM $dX_t=\mu t+\sigma dB_t$, having started at $X_0=0$. What is the probability that $X_t$ does not hit 0 in the time interval $[a,T]$ where ...
Qiang Li's user avatar
  • 255
6 votes
1 answer
355 views

Why is the dimension of Gaussian variables is bounded by the dimension of the space?

I'm looking at a probabilistic proof of a local version of Dvoretzky's theorem in Pisier's manuscript "Probabilistic Methods in the Geometry of Banach Spaces." For each $\epsilon >0$ there is a ...
AatG's user avatar
  • 922
1 vote
1 answer
453 views

An infinite Gaussian mixture with mixing parameters being also Gaussian

A finite Gaussian mixture with $k$ components has a probability distribution function $p(y|\mu_1,...,\mu_k, \sigma_1, ..., \sigma_k, \pi_1, ..., \pi_k)=\sum_{j=1}^{k} \pi_j\mathcal{N}(\mu_j, \sigma_j^...
Federico Magallanez's user avatar
30 votes
3 answers
2k views

Random knot on six vertices

This question is inspired by Joseph O'Rourke's beautiful question on random knots. Choose an random ordered 6-tuple of points on the unit sphere in $\mathbf{R}^3$, and form a knot by connecting ...
David Hansen's user avatar
  • 13.1k
1 vote
1 answer
334 views

Probability of d distinct outcomes after n trials

Hi, I'm trying to find the probability that after n trials of a multinomial rv, there have been exactly d distinct outcomes. What I'm ultimately trying to calculate is the expected number of trials ...
Chris's user avatar
  • 13
3 votes
1 answer
1k views

How I determine the probability that an unknown probability value is greater than others in a set?

I have a number of known beta distributions for different unknown probability values. Given the beta distributions, I want to determine the probability that each specific unknown probability values ...
sanity's user avatar
  • 269
3 votes
1 answer
677 views

Concentration of measure and bounds on variance

I am trying to characterize the sensitivity of a function $f: R^N\to{}R$ to the perturbations in the input vector $\mathbb{x}=\left[x_1,\dots{}x_N\right]$. For that purpose, I evaluate Cramer-Rao ...
Mikhail Kagalenko's user avatar
4 votes
2 answers
1k views

Balls-and-bins type problem

Suppose I have an n-by-n array of bins, and I want to choose k (k >= n) bins from these n^2 bins such that each row of the array has at least one bin chosen. How many ways are there of doing this? ...
Sheldon's user avatar
  • 57
2 votes
2 answers
1k views

Borel-Cantelli Lemma on MCs (absorbing states)

hi, I'm sorry if the question is silly, but I couldn't get my head around it for a while now. In Markov Chains (MC) proving that a state is either recurrent or transient is through Borel-Cantelli ...
sigma_z_1980's user avatar
4 votes
1 answer
2k views

Intersection Probabilities for Random Walk in d>2

I'd like to get asymptotics on the probability that n independent random walks coalesce. Start with n independent walks. As soon as two walks intersect they become one walk and continue evolving as ...
Ben's user avatar
  • 41
7 votes
2 answers
1k views

Weighted Poincaré inequality

Consider a probability distribution $\pi$ with density $e^{-H(x)}$ on $\mathbb{R}$. Let us say that there is a Poincaré inequality with weight $w$ if for any smooth function $\phi$ satisfying $\int \...
Alekk's user avatar
  • 2,133
1 vote
4 answers
1k views

Prove: if a1,...,an are uniformly distributed unit vectors, then a1*a1'+...+an*an'=n/2*I

Hello everyone, I have a very interesting question on orthogonal projection matrices. Intuitively it is quite straightforward to understand. But for me it is not easy to prove. In $R^2$ space, $a_i$,...
3 votes
2 answers
1k views

The space of probability measures and its intersection with hyperplanes in the space of measures

Let $X$ be some uncountable standard Borel space (e.g., the real line). Let $D$ be the set of Borel probability measures on $X$. Let $M$ be the set of signed Borel measures on $X$ Now let $p_1,...,p_N$...
user avatar
4 votes
1 answer
368 views

Self Avoiding Walk Pair Correlation

Let $\gamma(i)$ be a self avoiding walk (SAW) on a 2D lattice $L$ (a square lattice for example) starting at a predefined origin ( $\gamma(0)=(0,0)$ ) and having length $n:=\ell(\gamma)$. Furthermore, ...
Alex R.'s user avatar
  • 4,952
2 votes
2 answers
419 views

when does inner product with fixed vectors determine joint distribution?

Given a random vector $(X_1,X_2)$. If $aX_1 + bX_2$ is Gaussian for all pairs $a,b$, then $(X_1,X_2)$ is jointly normal. More generally, is the following statement true? If $aX_1 + bX_2$ has the same ...
John Jiang's user avatar
  • 4,466
39 votes
1 answer
1k views

Modeling question: how often does "the world's oldest person" die?

This story yesterday (no need to follow the link to understand the question!) http://www.cnn.com/2011/US/02/01/texas.oldest.person.dies/index.html?hpt=T2 reminds me that I've often wondered about ...
David Feldman's user avatar
1 vote
1 answer
369 views

Is there an f(x) such that P[f(a) >= f(b)] = a/(a+b) given a set of possible values for a and b?

I need a function $f(x)$ such that given a set of values $X=\{x1, x2, ...\}$ and a function $rand()$ that returns a value between 0 and 1, $f(x)$ returns a value that increases with x such that the ...
Dan Barry's user avatar
2 votes
1 answer
2k views

deriving angular central gaussian distribution from a multivariate normal distribution

The angular central Gaussian (ACG) distribution on $(p-1)$-dimensional sphere $\mathbb{S}^{p-1}$ for a symmetric positive definite parameter matrix $\mathbf{A}$ is defined as $$f(\mathbf{x},\mathbf{A}...
Federico Magallanez's user avatar
23 votes
2 answers
910 views

Random permutations of Z_n

In "The maximum number of Hamiltonian paths in tournaments" by Noga Alon, the author states the following without proof (equation 3.1): "Consider a random permutation $\pi$ of $\mathbb{...
Jeremy H's user avatar
  • 375
5 votes
0 answers
369 views

Independent Events Inducing Probability Measures

Let $\mathcal{F}$ be a sigma algebra over $\Omega$ and $M$ the set of all probability measures on $\mathcal{F}$. Let $\mathcal{C}$ be some collection of pairs $(A,B)$ with $ \ A,B\in\mathcal{F}$. Now ...
Alex R.'s user avatar
  • 4,952
12 votes
2 answers
3k views

Does there exist an event independent of a given sigma-algebra?

The following question came up in a discussion with my advisor: Let $(\Omega, \mathcal F, \mathbb P)$ be a non-trivial probability space, and suppose that $\mathcal G$ is a proper sub-$\sigma$-...
Tom LaGatta's user avatar
  • 8,512
11 votes
10 answers
1k views

Is there any straightforward way to substitute for Gaussian/Brownian assumptions in financial mathematics?

A huge amount of financial mathematics assumes Gaussian distributions of risks and Brownian movement of prices. What efforts have there been to replace these with heavy-tailed distributions? For ...
DoubleJay's user avatar
  • 2,383
6 votes
1 answer
991 views

Exact simulation of SDE

Consider a one dimensional SDE of the form $dX_t = \mu(X_t) dt + \sigma dW_t$, where $\sigma>0$ is a constant. Under mild regularity assumptions on $\mu(\cdot)$, one can exactly simulate ...
Alekk's user avatar
  • 2,133
4 votes
1 answer
562 views

Time-integral of a smooth, vector-valued function of a planar Brownian bridge

I'm looking for information on how to compute the distribution of the random vector $$Z = \int_0^t f(B_s) ds$$ where $t>0$ is fixed, $B_s$ is a 2D Brownian bridge with $B_0 = 0$, $B_t=b \in \...
Gabriel's user avatar
  • 43
2 votes
0 answers
240 views

Radon transform and Log-concavity

This question is related to (but different from) that of Darsh Ranjan. Is there a characterization of the functions $f:\mathbb R^n\rightarrow\mathbb R_{\ge0}$ whose Radon transform $\hat f(\omega,t)$...
Denis Serre's user avatar
  • 52.3k
1 vote
1 answer
289 views

Follow up question, Ornstein-Uhlenbeck Extension with n mean-reversion values

Hi this Question follows after the answer of Douglas Zare to this post : So let's be given a positive function $V(x)$ which is smooth enough to have Lispchitzian derivative at all point. Moreover ...
The Bridge's user avatar
  • 1,334
26 votes
3 answers
3k views

An $L^0$ Khintchine inequality

Suppose that $\epsilon_1,\epsilon_2,\ldots$ are IID random variables with the Bernoulli distribution $\mathbb{P}(\epsilon_n=\pm1)=1/2$, and $a_1,a_2,\ldots$ is a real sequence with $\sum_na_n^2=1$. ...
George Lowther's user avatar
19 votes
3 answers
6k views

Anti-concentration of Bernoulli sums

Let $a_1,\ldots,a_n$ be real numbers such that $\sum_i a_i^2 =1$ and let $X_1,\ldots,X_n$ be independent, uniformly distributed, Bernoulli $\pm 1$ random variables. Define the random variable $S:= \...
Luca Trevisan's user avatar
11 votes
3 answers
4k views

Maximum of a set of sums of iid random variables

Consider some probability distribution $D$ over non-negative reals with finite expectation $\mu$. Now for any positive $T$ consider sums of $T$ iid random variables drawn from $D$. A single sum of ...
Pradipta's user avatar
  • 501
4 votes
4 answers
1k views

What would be a fractional Poisson Process like

I think that the definition of fractional Brownian Motion is widely known (for example as a Gaussian Process with particular variance covariance stucture parametrized by the so-called Hurst index). ...
The Bridge's user avatar
  • 1,334
8 votes
6 answers
761 views

Diffusion sample paths as deformed Brownian sample paths

Suppose $X$ is a non-explosive diffusion with dynamics $dX_t = \mu(X_t)dt + \sigma(X_t)dW_t$, where $W$ is a standard Brownian motion. My intuition about $X$ is that if $\mu$ and $\sigma$ are ...
Simon Lyons's user avatar
  • 1,666
0 votes
1 answer
938 views

Convergence of sets

Let $E$ be a compact subset of $\mathbb{R}^n$. Let the density function $\phi(x,y)$ be Lipschitz continuous and such that $$ \int\limits_E \phi(x,y)dy=1 $$ for all $x\in E$. Let us consider the non-...
SBF's user avatar
  • 1,655
5 votes
0 answers
484 views

Stable local limit theorems

Consider a sequence of integer valued indentically distributed centered independent random variables $X_1, X_2, \ldots$ with the additional condition that the support of $X_1$ is aperiodic. Suppose ...
Igor Kortchemski's user avatar
4 votes
1 answer
2k views

Square of Binomial Coefficient

Background I'm modeling Genetic Algorithm(GA) with Markov chains and deriving the expression for the expectation of the first hittig time in the MC with 1 absorbing state and $l-1$ transient states. ...
sigma_z_1980's user avatar
13 votes
4 answers
1k views

Reference request: probability / ergodic theory without measure spaces

In his notes on free probability, Terence Tao describes a general approach to non-commutative probability which prioritizes the algebra of random variables above the sample space; I find this ...
Qiaochu Yuan's user avatar

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