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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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More positive pivotal edges than negative ones at critical bond percolation on Z^2?

Consider critical bond percolation on $\mathbb{Z}^2$ inside a fixed rectangle $(0,0) - (an,n), a \geq 1$ and write $A$ for the event that there is an open crossing in the long (left to right) ...
DmitryZ's user avatar
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2 votes
0 answers
265 views

Expectation of a multivariate Gaussian over a plane

For a vector $X$ which follows a multinomial Gaussian distribution $N(\vec{0},\Sigma)$, a given vector $b$, and a known scalar value $c$, I would like to calculate the expectation : $E[X|X^Tb = c]$ ...
Leo's user avatar
  • 21
2 votes
1 answer
422 views

Extending Wald's equation to two classes of i.d. random variables?

I try to adopt Wald's equation to a slightly more complex problem. In fact, after a full day, I found some solution now, but it has a confusing argument in the middle. Perhaps somebody can help me at ...
cubic lettuce's user avatar
5 votes
1 answer
437 views

Stationary, ergodic measures from the structuralist point of view

Stationary, ergodic measures are a class of objects very familiar to probabilists. In a sense, these are the weakest generalization of the classic case of independent, identically distributed random ...
Tom LaGatta's user avatar
  • 8,512
7 votes
2 answers
2k views

random walk returning probability

Consider a two-dimensional random walk, but this time the probabilities are not 1/4, but some values p_1, p_2, p_3, p_4 with $\sum_{i=1}^4 p_i=1$. For example, from (0,0), it goes to (1,0) with p_1, ...
maomao's user avatar
  • 71
4 votes
2 answers
8k views

Upper bound on expectation value of the product of two random variables [closed]

Hello, I am trying to find an upper bound on the expectation value of the product of two random variables. So suppose x, y are two non-independent random variables, given that I know the distribution ...
James's user avatar
  • 343
8 votes
1 answer
527 views

A q,t-extension of Plancherel Measure thru Yang-Mills Theory ?

Buried in the physics paper by Nekrasov and Okounkov, a strange identity is proven: $$ \prod_{n > 0} (1 - q^n)^{\mu^2-1} = \sum_{\mathbf{k}} q^{|\mathbf{k}|} \prod_{\square \in k} \left( 1 - \frac{\...
john mangual's user avatar
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3 votes
2 answers
520 views

Large deviations for missing mass

Let $\boldsymbol p=(p_1,p_2,\ldots)$ be a distribution over $\mathbb{N}$ and suppose that $S=(X_1,X_2,\ldots,X_n)$ are sampled iid according to $\boldsymbol p$. Define the indicator variable $\xi_j$ ...
Aryeh Kontorovich's user avatar
2 votes
2 answers
2k views

Total variation distance between a Poisson and a distribution with known mean/variance

Suppose that $\mu$ is the law of a Poisson distribution of mean 1, and that $\nu$ is the law of an unknown distribution on the non-negative integers, though I do know that its mean and variance are ...
Shanshan Ding's user avatar
6 votes
1 answer
658 views

Calculating a specific joint probability involving sums of binomial distributions

The following might look like a simple problem - but the question has been unanswered for more than a week on math.stackexchange.com, and I have asked quite a few of the Ph.d. students at our ...
val11's user avatar
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0 votes
1 answer
107 views

Can one combine (join) probabilities from 2 aspects of a related process?

Consider 2 related aspects of a process for prices in a financial market: time & return. Time Say I've identified a distribution that reasonably models the occurrence of the lengths of price ...
Jagra's user avatar
  • 111
1 vote
2 answers
724 views

Conditional probability with permutations

Hello, This problem looks very simple and I conjecture it's true but I have a hard time proving it. It'd be very useful for my work (I'm doing a PhD) and I'll be glad to cite you in a future article ...
Rodolphe's user avatar
1 vote
0 answers
221 views

Distance between probability amplitude functions

Suppose we have two probability measures $P_1$ and $P_2$ on some Riemannian manifold $(\Sigma,g)$. There are many potential distance measures between $P_1$ and $P_2$: The Wasserstein distance For $...
Justin's user avatar
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1 vote
2 answers
147 views

limit of functionals on weak convergent random variables

Suppose real value random variables satisfy $X_{n} \Rightarrow X$ (convergence in distribution) as $n\to \infty$ in the same probability space $(\Omega, \mathcal F, \mathbb P)$. It is well known that ...
kenneth's user avatar
  • 1,399
7 votes
0 answers
300 views

Generalized Skorokhod spaces

Skorokhod spaces of càdlàg functions are an extremely useful setting to describe stochastic processes. I'd like to understand the Skorokhod topology from a pure topological point of view, without ...
Tom LaGatta's user avatar
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0 votes
0 answers
135 views

expected number of shared 1s between two binary strings from a given set

Let say, I have two binary strings with length N, chosen from a set where there are $2^N-K,(K \ge 0)$ independent strings. What would be the expected number of Ones at the same index from two randomly ...
big daddy's user avatar
4 votes
1 answer
904 views

distribution of the number of empty bins in a multinomial setting

Let $(X_1,X_2,\ldots,X_k)$ be a multinomial random vector with parameters $n, p_1, p_2, \ldots, p_k$ (i.e., we throw randomly $n$ balls into $k$ bins, so that for each ball, the probability of landing ...
Multivariate's user avatar
1 vote
0 answers
501 views

Distribution of random vectors

Two positive numbers $\alpha$ and $\beta$ are given. We are going to describe a process of choosing a random vector on the unit sphere $S$ in $\mathbb R^3$ (given by $x^2+y^2+z^2=1$). A vector $u\in ...
puzzly's user avatar
  • 143
6 votes
4 answers
674 views

Brownian motion inside a domain

Consider a regular domain $D \subset \mathbb{R}^d$ and a Brownian motion $B_t$ conditioned to stay inside $D$ for time $t \in [0,T]$. In the limit $T \to \infty$ the conditioned Brownian motion ...
Alekk's user avatar
  • 2,133
0 votes
1 answer
283 views

Probability and events [closed]

Hi everyone The question is the following: A certain event may or may not take place. So we say that if we focus on it one time, it has a probability p of being satisfied (0 <= p < 1) If we ...
Ant's user avatar
  • 3
9 votes
2 answers
441 views

From very many sets of fixed measure in a probability space, can we select many that have a positive intersection?

I assume the following Lemma is either well known or, more probably, a Corollary of a much stronger well known Theorem, and I would be grateful for a reference: For all $\delta\in (0,1)$ and all $\...
Jakob's user avatar
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4 votes
0 answers
617 views

Expected number of components with multiple cycles in a subgraph of a square lattice

Short version Is there an understanding of the emergence and subsequent disappearance of components with zero, one, or more cycles in a random subgraph of a square or cubic lattice, as the edge-...
Niel de Beaudrap's user avatar
2 votes
2 answers
241 views

examples of random variable X independent to each of A and B, but not to (A,B) [closed]

What are some examples of random variables X, A, B such that X is independent to A, and to B, but not to A and B jointly, i.e., X is not independent to (A,B). In other words, $X \perp A$ and $X \perp ...
Das Curious's user avatar
9 votes
2 answers
479 views

Hyperreal finitely-additive measure on [0,1) assigning $b-a$ to $[a,b)$ or $(a,b]$ and infinitesimals to singletons

Is there a hyperreal-valued finitely additive measure on all the subsets of [0,1), or at least the Borel ones, that assigns $b-a$ to $[a,b)$ and to $(a,b]$ for all $a\lt b,$ and assigns an ...
Alexander Pruss's user avatar
2 votes
2 answers
230 views

Countably many random vectors and related problems.

Say I have a countably infinite number of iid random vectors $X_i:i\in\mathbb{N}$, each uniformly distributed on $[0,1]^k$ with say, $k=2$. I need to evaluate stuff like: $E_{X_0,X_1,\ldots}[\int_{[...
roork's user avatar
  • 23
45 votes
5 answers
6k views

Nonstandard analysis in probability theory

I am quite new at nonstandard analysis, and recently I became aware of its use in probability theory mainly through the following two books: Nelson (1987). Radically Elementary Probability Theory ...
an12's user avatar
  • 1,302
7 votes
5 answers
974 views

Collisions between rooks taking random flights on an N by M chessboard

I randomly place $k$ rooks on an (arbitrarily sized) $N$ by $M$ chessboard. Until only one rook remains, for each of $P$ time intervals we move the pieces as follows: (1) We choose one of the $k$ ...
T.R.'s user avatar
  • 133
8 votes
2 answers
755 views

The Odds 3 (or More) Group Elements Commute

Some time ago I asked about the odds 2 group elements commute. I wonder about the odds that 3 group elements commute. Is there a "closed" formula for the sum $$ \frac{1}{|G|^3} \sum_{g,h,k} \delta([...
john mangual's user avatar
  • 22.8k
10 votes
2 answers
9k views

When do maximum and expectation commute?

Hi, I'm looking for conditions on $G(t,x)$ such that $$ \sup\limits_{t\in [0,1]}E[G(t,X)]=E[\sup\limits_{t\in [0,1]}G(t,X)] $$ where $X$ is a random variable (it's easy to see that $\sup\limits_{t\in [...
martin's user avatar
  • 111
3 votes
1 answer
453 views

When can you describe a population and its component subpopulations with the same parametric family of distributions?

I believe that it is often the case that you are trying to select the best probability distribution to use to describe some phenomenon you are studying, and you have data not only for a population, ...
andrewH's user avatar
  • 133
2 votes
1 answer
719 views

Lower bound on Bhattacharya distance between independent Gaussian distributions ?

I am interested in a lower bound on the Bhattacharya distance between two independent multivariate Gaussian distributions. To be precise, consider zero-mean independent Gaussian distributions $p_1\sim\...
adas's user avatar
  • 163
4 votes
0 answers
233 views

Convergence of probability measures on a generating field of a sigma-field

Let $(\Omega,\mathcal{B})$ be a measurable space and let $\mathcal{F}$ be a generating field of $\mathcal{B}$. Assume $\mathcal{F}$ is standard, i.e. it is countable, and any normalized, non-negative, ...
Wei Mao's user avatar
  • 51
17 votes
1 answer
733 views

Reference request: a conjecture of Rota on positive functions of a random variable

Rota and Shen's On the Combinatorics of Cumulants ends with a conjecture which I'll restate as follows: Let $p \in \mathbb{R}[x_1, x_2, ...]$ be a polynomial such that, for any sequence $X_1, X_2, ...
Qiaochu Yuan's user avatar
2 votes
2 answers
304 views

Uniformly random planar map

Is there a way to sample a planar map uniformly at random? I am aware of the Cori-Vauquelin-Schaeffer bijection that can be used to sample and study uniformly random quadrangulations. There are other ...
Zach H's user avatar
  • 1,989
5 votes
3 answers
349 views

minimum of two probability densities

Consider a smooth probability density $\pi(x)$ on $\mathbb{R}^d$. I am looking for natural for the integral $\iint_{u,v} \ \min\big(\pi(u), \pi(v) \big) \ du \ dv$ to be finite. If $\pi$ is a radially ...
Alekk's user avatar
  • 2,133
-1 votes
2 answers
462 views

How to deal with this Chicken-And-Egg problem ?

Let's imagine designing an odds pattern for a game, in which players bet for win or lose. Suppose the probablity of winning is $p$, thus the probablity of losing is $1-p$. Now imagine $n_1$ people ...
l4rmbr's user avatar
  • 99
60 votes
4 answers
3k views

Flipping coins on a budget

A coin is flipped $n$ times and you win if it comes up heads at least $k$ times. The coin is unusual in that you're allowed to pick the probability $p_i$ that it comes up heads on the $i$th flip, ...
Timothy Chow's user avatar
  • 82.7k
2 votes
2 answers
2k views

The probability distribution of random variable of random variable

In my understanding, random variable is a measurable function from a probability space to a measurable space. Suppose $X$ is a random variable from $(A, \sigma_{A},P_A)$ to $(B,\sigma_{B})$. And $Y$ ...
itsuper7's user avatar
  • 131
8 votes
2 answers
853 views

A discrete random walk that avoids previously visited vertices for an exponentially distributed time interval

Imagine a discrete random walk on an infinite one-dimensional lattice where, for every unit interval of time, $(t_1, t_2, ...)$, the walker takes a step with uniform probability to its left or right. ...
15 votes
5 answers
921 views

What fraction of n x n invertible integer matrices contain at least one unit?

The question is simple: What fraction of matrices in $G_n = \text{GL}_n(\mathbb{Z})$ have at least one unit entry (i.e., either $\lbrace\pm 1 \rbrace$)? I'm not sure what the correct measure on $...
Vidit Nanda's user avatar
  • 15.5k
10 votes
0 answers
339 views

Simultaneous strong law of large number classes?

Say that $C$ is a SSLLN class of subsets of some Polish space $V$ provided that for every sequence of Borel i.i.d.r.v.s $X_1,X_2,...$ with values in $V$, we almost surely have: For every $A$ in $C$, $\...
Alexander R Pruss's user avatar
4 votes
3 answers
3k views

What is the name for a non-normalized distribution?

For some analysis work with probability distributions, I remember a common trick being to drop the "integrate to 1" requirement, so the set becomes closed under addition and is more convenient to work ...
Scot Free Kennedy's user avatar
2 votes
0 answers
228 views

Invariant Measures of Markov Chains under Perturbations

This is a more specific version of a question I asked before without much luck. I believe this should be standard perturbation theory, but looking at Kato's book has not helped. Any references would ...
Jeremy Voltz's user avatar
6 votes
0 answers
411 views

Birth-Death Process associated with Orthogonal Polynomials

I have read in various places the following objects are related: orthogonal polynomials birth-death processes Lattice paths continued fractions After a lot of searching online, I found sketches ...
john mangual's user avatar
  • 22.8k
4 votes
1 answer
580 views

Tracking down locality assumption in CHSH inequality

CHSH inequality requires both locality and realism. I will equate here realism with counterfactual definiteness. Now counterfactual definiteness tells us that given two different measurements on the ...
Sebastian Meznaric's user avatar
0 votes
0 answers
111 views

Stationarity of an Integral Process

Let $f$ be a continous deterministic function defined on $\left[0,c\right]$ and $(B_{t}^{H})_{t\geq 0}$ be a fBM with $H\in \left(0,1\right)$. We define a Process $\left(X_{t}\right)_{t\geq 0}$ with $$...
Peter Moor's user avatar
3 votes
1 answer
520 views

Results regarding $E[\min X,Y]$. when $X$ and $Y$ are independent, of given distributions.

Working on fairly unrelated stuff, I needed to prove the following, fairly easy results, and I wonder if anyone can provide references to the literature. Not being a probabilist I wouldn't know where ...
Itaï BEN YAACOV's user avatar
1 vote
1 answer
414 views

Fourier inversion formula for complex-valued random variables?

The characteristic function of a complex-valued random variable $X$ with pdf $\mu$ is given by $$ \phi(t) = \int \exp[i \Re(\bar{t} X)] \; d\mu $$ (or, so says Wikipedia). How does one recover the ...
Joshua Cooper's user avatar
1 vote
2 answers
1k views

Representation theorem for continuous uniformly integrable martingales

For some time $u$ and positive continuous process $a_t$ adapted to $\mathcal{F}_t$ I have a (continuous-time) martingale defined as: $$M_t(u) = \mathbb{E}[a_u | \mathcal{F}_t]$$ for $t\leq u$. I ...
Grzenio's user avatar
  • 667
5 votes
2 answers
472 views

Product of random diagonals on the unit circle

Let $P_1, P_2, ..., P_n$ be points randomly placed on a unit circle from a uniform distribution. Consider the product $D$ of all pairwise distances: $D=\displaystyle \prod_{1\leq i < j \leq n} \...
jwellens's user avatar
  • 413

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