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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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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, ...
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 ...
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 ...
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.): $Y_1 = X_1^' \beta + \epsilon_1$ ...
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}...
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-$\sigma$-...
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 \...
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 ...
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 $\hat f(\omega,t)$...
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 ...
2 votes
2 answers
955 views

Probability calculation, system uptime, likelihood of occurence.

A little stumped! This is probably a very basic probability question, but I am lost. At work I was asked the probability of a user hitting an outage on the website. I have some following metrics. ...
5 votes
1 answer
577 views

Does generator of continuous time random walk map heat kernel from L^2 to L^2?

Let $\Gamma = (G,E)$ be an undirected, infinite, connected graph with no multiple edges or loops. We equip $\Gamma$ with a set of edge weights $\pi_{xy}$, where, given $e=\{x,y\}\in E$, we write $\...
18 votes
2 answers
4k views

When is the function of a median closer to the median of the function than the mean of the function is to the function of the mean?

Background notation: RV= random variable, $\mu=$ mean $m=$ median Jensen's Inequality considers the relationship between the mean of a function of an RV and the function of the mean of an RV. If $f(...
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-...
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. ...
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 ...
5 votes
1 answer
1k views

Self Avoiding Walk Enumerations

Let $c(n)$ be the number of Self avoiding walks (SAW) of length $n$ on an infinite lattice $L$. Are there any known non-geometric interpretations of $c(n)$?. For example, is there a number theoretic ...
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 ...
3 votes
0 answers
341 views

maximum variance unfolding

Consider positive weights $\pi_1, \ldots, \pi_n$ (one can suppose that they add up to $1$) and $n-1$ lengths $d_1, \ldots, d_{n-1}$. Is there an analytical solution to the following problem: find the ...
-1 votes
1 answer
1k views

Approximating expectation [closed]

if we are given a finite number N of points drawn from a probability distribution, expectation can be approximated as a finite sum over these points: E[f]=(1/N)(summation of f(x) over these N points). ...
11 votes
3 answers
2k views

Expected second moment for random points on a circle

Let $S$ be a circle with unit circumference. Suppose that $n$ random points are chosen independently uniformly from $S$; choosing one arbitrarily as $x_1$, label the rest $x_2, \dots, x_n$ in ...
3 votes
0 answers
518 views

Laplace transform of a stopping time for stochastic volatility models

Let $V_t$ be a solution of the SDE $$dV_t=V_t(rdt+\sigma_t dW_t) $$ where $\sigma_t$ satisfies some other SDE $$d\sigma_t=\alpha(t,\sigma_t)dt+\beta(t,\sigma_t)dW^{\\ \prime}_t $$ and $W_t$ and $...
9 votes
3 answers
354 views

Surfaces that are 'everywhere accessible' to a randomly positioned Newtonian particle with an arbitrary velocity vector

Consider an idealized classical particle confined to a two-dimensional surface that is frictionless. The particle's initial position on the surface is randomly selected, a nonzero velocity vector is ...
5 votes
1 answer
2k views

Liouville property in Z^d [closed]

It is well known that $\mathbb{Z}^d$ has Liouville property, i. e. every bounded harmonic function on this graph is constant. (harmonic means that the value of $f$ in a point $x$ is equal to the ...
1 vote
0 answers
466 views

Bounding point-wise maximum of the absolute difference of two convex functions

Let $\Delta: R \times R \rightarrow R_{+}$ be a positive and convex function (convex in, say, both the arguments) called the loss function. Let $x \in R^d$. Moreover, let $H_1,...,H_r$ be sets of ...
4 votes
3 answers
622 views

A type of stochastic jump process

Let $X \geq 1$ be a integer r.v. with $E[X]=\mu$. Let $X_i$ be a sequence of iid rvs with the distribution of $X$. On the integer line, we start at $0$, and want to know the expected position after we ...
12 votes
2 answers
997 views

Is there a percolation threshold in the hard discs model?

Take a random configuration of $n$ non-overlapping discs of radius $r$ in the unit square $[0,1]^2$. (You could think of this as taking $n$ points uniform randomly in $[r,1-r]^2$ and then restricting ...
2 votes
2 answers
959 views

Exist closed forms of the distribution of return time in markov chains?

Hi, I am interested in the distribution of return times in simple random walks on finite graphs. Let $G$ be a connected finite graph with, with two independent random walks. If both random walks ...
1 vote
2 answers
1k views

what will be the distribution of ratio of correlated gamma distributed random variables?

If $X\sim \Gamma(a,\sigma_x^2)$ and $Y\sim \Gamma(b,\sigma_y^2)$. What will be the probability density function of R? Where $R=\frac{X+C}{X+Y}$, here $C$ is a positive constant, $\Gamma(.,.)$ denotes ...
14 votes
3 answers
8k views

Analog of Chebyshev's inequality for higher moments

I have a positive random variable $X$ with $E[X] = 1$ and a small number $k$ more moments bounded by constants: $$E[(X-1)^i] = O(1) \forall i \in \{2, ..., k\}.$$ I'd like to bound the average of $n$...
4 votes
1 answer
2k views

When does the ratio X/Y of two random variables have a finite moment-generating function?

Let $X$ and $Y$ be two positive random variables with $Y < X$; these may be highly correlated. I would like a reasonable condition on $X$ and $Y$ so that the ratio $X/Y$ has a finite moment-...
8 votes
1 answer
4k views

Skellam distribution: Deep connection between Poisson distributions and Bessel function?

The probability mass function for the Skellam distribution for a count difference $k=n_1-n_2$ from two Poisson-distributed variables with means $\mu_1$ and $\mu_2$ is given by: $$ f(k;\mu_1,\mu_2)= ...
0 votes
2 answers
383 views

"X \in \cdot" in Probability Measure [closed]

My question is quite simple, but I was unable to find an answer by googling, since you can't exactly google syntax. What does the $\in \cdot$ mean in: $$\lim_{n\to\inf}||P(S_n\in\cdot)-P(S_n+k\in\cdot)...
3 votes
1 answer
927 views

How to choose $L$ size-$m$ subsets of $\{1,\ldots,n\}$ to maximize expected max overlap with another randomly chosen subset?

GIVEN: Positive integers $n,m,L$ and probabilities $p_1, p_2, \ldots, p_n$. GOAL: Choose $L$ size-$m$ subsets $S_1, S_2, \ldots, S_L$ of $\{1,2,\ldots,n\}$ to maximize $\displaystyle \mathbb{E}[ \...
0 votes
2 answers
630 views

Units in Ornstein-Uhlenbeck(OU) process

Take an OU process characterized by X(0) = x dX(t) = - a X(t) dt + b dW(t) where a,b >0. The parameter a is usually interpreted a dissipative term, and b is a ...
4 votes
2 answers
1k views

What is the expected length of the sum of vectors in a multi-dimensional sphere?

Suppose we pick $m$ vectors i.i.d from the surface of a $d$-dimensional unit sphere (they all have length 1). What would be the expected length of their sum? Equivalently, we can ask about the ...
1 vote
1 answer
434 views

A point process for modeling location of trees in an infinite forest?

I am looking for an example of a stationary, infinite point process on $\mathbb R^n$ with a few simple properties. I would not be surprised to discover that there is a well-studied, canonical process ...
2 votes
2 answers
1k views

Counterexample Markov process

Let $X$ be a homogeneous Markov process in a continuous time with value in the set $E$. Suppose that for some $T>0,x\in E, A\subset E$ we have $$ P_x[X_t\in A] = 0 $$ for all $t\in [0,T]$ but $$ ...
16 votes
2 answers
1k views

There is mathematics behind the 1989 Tour de France !

The $1989$ Tour was won by Greg Lemond (USA, $1961$ - ), who beat Laurent Fignon (France, $1960$ - $2010$) by $8''$. Yes, eight seconds! The closest tour in history. Let me recall a few rules ...
6 votes
1 answer
1k views

What is the probability that the range of a set of N randomly chosen real numbers in [0, 1] is less than the reciprocal of N?

(Random number with uniform distribution over [0, 1]) For clarification, in the case where N = 2, we can use geometric probability. On the coordinate plane consider points with 0<=x,y<=1. The ...
5 votes
2 answers
2k views

Process for a Gamma distribution with non integer shape parameter

I am sampling the distribution of lifetimes of computers participating in massive volunteer computing initiatives (BOINC projects). While a phenomenological Weibull distribution makes a good ...
7 votes
1 answer
5k views

Parametric vs Non-parametric Estimation of Quantiles

Motivation Suppose that we need to estimate the median from a normal distribution with known variance. One non-parametric approach is to use the sample median as an estimator. However, this does not ...
1 vote
1 answer
722 views

Combination of probability distributions with maximum relative entropy

How can we figure out the combination of probability mass functions p and q, such that the relative entropy $D(p||q) = \sum p \log \frac{p}{q}$ is maximum? Of course this is a convex function. I am ...
5 votes
1 answer
2k views

Average wait time for multiple queues where arrivals enter shortest queue

I have been able to find, and understand reasonably well, expressions and derivations for the average wait times for (1) $s$ independent $M/M/1$ queues each with arrival rate $\lambda/s$ and service ...
1 vote
2 answers
744 views

Order statistics: probability random variable is k-th out of n when ordered.

Given a random variable $X_1$ drawn from a distribution with cdf $F$, and random variables $X_2, \cdots,X_n$ drawn from another distribution with cdf $G$, what is the formula for the probability that $...
9 votes
5 answers
1k views

$E(X_1 | X_1 + X_2)$, where $X_i$ are (integrable) independent infinitely divisible rv's "of the same type"

The following is inspired by this recent question on math.stackexchange. Two standard exercises in conditional expectation are to find ${\rm E}(X_1|X_1+X_2)$ where: 1) $X_i$, $i=1,2$, are independent $...
1 vote
2 answers
570 views

How to reading of an integral? Bernoulli trials with variable success rate, p

I have a Bernoulli trial with success rate $p$ and failure rate $1-p$ the odds of $k$ successes is $\binom{N}{k} p^k (1-p)^{N-k}$. I need to evaluate an integral $$ \int_0^1 dp p^k (1-p)^{N-k} = \...
0 votes
1 answer
1k views

Generalizations of a product formula for the gamma function

Hello and Happy holidays. I am interested in generalizations of the following product formula for the gamma function $\Gamma(z)= \int_{0}^{\infty} t^{z-1}e^{-t}dt$ when $n \geq 2$: \begin{align} \...
3 votes
1 answer
1k views

Cyl(E) = Borel(E) for E non-reflexive Grothendieck Banach space

This is sort of a follow-up to Borel(X) = \sigma(X') for X non-separable PROBLEM: Given a Banach space $E$ over $\mathbb{K} \in \{\mathbb{C}, \mathbb{R}\}$ that has the Grothendieck property. ...
7 votes
1 answer
449 views

Brownian Approximation of Downswings of Walks with Positive Drift

I'm interested in the downswings of discrete walks w(t) whose steps are IID, bounded, and have positive mean. A simple example might have steps which are +1 with probability 2/3, and -1 with ...

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