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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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1 vote
2 answers
1k views

Sum of digits iterated

Original version. I believe that it is an elementary question, already discussed somewhere. But I just have no idea of how to start it properly. Take a positive integer $n=n_1$ and compute its sum of ...
5 votes
1 answer
743 views

Donsker Theorem Billingsley

Theorems $16.1$ and $16.3$ in Billingsley Convergence of measures. $16.1$ reads : Random variables $u_1,\ldots$ on $(\Omega,\mathcal{B},\mathbb P)$ and are i.i.d. with $0$ mean and finite variance $\...
16 votes
4 answers
1k views

Continuity on a measure one set versus measure one set of points of continuity

In short: If $f$ is continuous on a measure one set, is there a function $g=f$ a.e. such that a.e. point is a point of continuity of $g$? Now more carefully, with some notation: Suppose $(X, d_X)$ ...
20 votes
4 answers
3k views

Is there a statistical interpretation of Green's theorem, Stokes' theorem, or the divergence theorem?

This is cross-posted from math.stackexchange and stats.stackexchange. Probably there is no great answer to this question, but I thought I'd give it a shot here. I'm teaching a class on integration ...
17 votes
5 answers
3k views

Conditional probabilities are measurable functions - when are they continuous?

Let $\Omega$ be a Banach space; for the sake of this post, we will take $\Omega = {\mathbb R}^2$, but I am more interested in the infinite dimensional setting. Take $\mathcal F$ to be the Borel $\...
3 votes
1 answer
188 views

Markov Chains based on sampled transition probabilities [closed]

If I have a process that transitions between states with some set, unknown probability, I can sample to find the transition probability. This probability is a sample average, with a well understood ...
6 votes
1 answer
299 views

Probability of having many unique elements

If you sample $n$ integers from the range $1$ to $n$ inclusive it seems intuitive that you are likely to get a lot of numbers exactly once. Call $X_n$ the number of integers you get that occur ...
2 votes
2 answers
331 views

what's the best way to characterise the distribution of prime elements in simple perfect squared squares

DEFINITIONS: A squared rectangle is a rectangle dissected into a finite number, two or more, of squares, called the elements of the dissection. If no two of these squares have the same size the ...
3 votes
1 answer
8k views

Expected value of logarithm of a binomial random variable

Suppose $X\sim \mathrm{Binomial}(n,p),$ i.e. $X$ takes values in $\{0,1,2,\ldots, n\}$ and $P(X=i) = {n\choose i} p^i(1-p)^{n-i}.$ I am looking for a good estimate for $\mathbb{E}\log(X+\alpha).$ I ...
1 vote
2 answers
205 views

Finding the probability that $n$ points which are randomly selected from $d-1$ dimensional spherical surface are 'semi-spherical'

Let $S^{d-1}=\{(x_1,\cdots,x_{d})\in {\mathbb R}^{d}|{x_1}^2+\cdots+{x_d}^2=1\}$, and let us call the intersection of any $d-1$ dimensional subset which passes through the origin and $S^{d-1}$ 'a ...
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 ...
2 votes
0 answers
178 views

Characterising sets on which two probability measures coincide

Let $(\Omega,\mathcal{B})$ be a measurable space and let $\mu$ and $\nu$ be two probability measures on this space. It is well known that $\mathcal{A} = \{A\in \mathcal{B} \enspace | \enspace \mu (A) ...
2 votes
1 answer
557 views

Is this a closed set?

Let $\Theta$ and $X$ be two (Hausdorff) topological spaces. Let $\mathbb P : \Theta \to \Delta(X)$ be a "statistical model", i.e., a continuous function from parameter space $\Theta$ to the space of ...
10 votes
1 answer
1k views

Limit of pushforward measures of random variables is "represented" by a random variable

Suppose we have an arbitrary probability space $(\Omega,\mathcal{F},\mathbb{P})$ and a sequence of real random variables $X_n:\Omega\to\mathbb{R}$ such that the pushforward measures $(X_n)_*(\mathbb{P}...
4 votes
1 answer
558 views

Symmetries of the standard probability space

The standard probability space $(I, \mathcal B, \lambda)$ consists of the interval $I = [0,1]$, its Borel $\sigma$-algebra $\mathcal B := \mathcal B(I)$ and Lebesgue measure $\lambda$. In applications,...
4 votes
1 answer
193 views

Variance of central limit distribution for $P(x) \sim 1/x^{1+\alpha}$ for finite but large $N$?

Is it known what the next-to-leading order term is in the variance of the central limit distribution for the average of $N$ variables each of which is distributed according to $P(x) \sim 1/x^{1+\alpha}...
8 votes
3 answers
1k views

Singularity of sparse random matrices

The following topic came up in conversation with my office-mate Lionel: Let $p$ be a fixed prime, $c$ a fixed positive real parameter and $n$ a large number. Consider a random $(0,1)$ matrix with ...
2 votes
1 answer
130 views

Linear combination of i.i.d. $Z_i$ distributed as $Z_1$

A classical property of the Gaussian distribution is that, if $\{Z_i\}_{1 \leq i \leq n}$ are i.i.d. standardised Gaussian distributions (i.e. $Z_i \sim N(0,1)$) and $S = \sum_{i=1}^n a_i Z_i$ where $...
4 votes
1 answer
704 views

Central limit theorem for $P(x)\sim 1/x^3$ distribution

I have a random variable $x \in (0,\infty)$ with distribution $P(x)$ falling off slowly $P(x) \sim 1/x^3$ for large $x$. So the expectation value $\bar{x}$ is finite but the second moment $\bar{x^2}$ ...
1 vote
1 answer
135 views

order of convergence of the conditional entropy (2)

Let $X_n$ be a random variable distributed on $A_n:=\{1, \ldots, n\}$ and $g_n\colon A_n \to A_n$ such that $\Pr\big(X_n \neq g_n(X_n)\big) \to 0$. Putting $Y_n=g_n(X_n)$, then by Fano's inequality $$\...
5 votes
1 answer
407 views

Is this inverted integral transform valid?

I have the following transform: $$F(y) = \int_{0}^{\infty} y\exp{\left[-\frac{1}{2}(y^2 + x^2)\right]} I_0\left(xy\right)f(x)\;\mathrm{d}x$$ with the following conditions: $f(x)$ and $F(y)$ must be ...
3 votes
1 answer
1k views

Cumulative distribution function of hypergeometric distribution

Does anyone know a closed form or a good approximation of the cumulative distribution function of hypergeometric distribution?
4 votes
1 answer
2k views

Expectation of the time t standard brownian motion stopped at itself's square

I have a one dimensional standard brownian motion $W$ defined under a stochastic basis with probability $\mathbf{Q}$ and filtration $\left(\mathscr{F}\right)_{t\in{\mathbf{R}}_{+}}$, and I want to ...
0 votes
1 answer
379 views

Continuity of caglad process

Consider a non increasing, caglad process $(X_t)_{t\geq0}$ such that, for each $t$, the distribution function $F_t(x):=P(X_t\leq x)$ is a continuous function of (real) $x$. Are there any sufficient ...
3 votes
2 answers
877 views

bound the tail distribution

Suppose that Z_1, ... , Z_n are binomial distributions with E[Z_i]=z_i. If (Z_i) are pairwise independent, then, It's well known that the Chebyshev inequality can bound the tail distributions. If (...
5 votes
2 answers
301 views

bilinear form tail bound

Let $A\in \mathbb{R}^{n\times n}$ and $u$ and $v$ be independent random $\{-1,1\}^n$-vectors. (i.e., each coordinate of $u$ is $1$ with prob. $1/2$ and $-1$ with prob. 1/2 and the coordinates of $u$ ...
2 votes
0 answers
202 views

Bunimovich stadium bouncing ball

http://terrytao.wordpress.com/2008/07/07/hassells-proof-of-scarring-for-the-bunimovich-stadium/ I cannot relate how the eigenfunctions normalizaed correspond to the probabality distribution of the ...
2 votes
1 answer
274 views

Is there monotonicity of measure concentration?

Suppose $X$ and $Y$ are nonnegative random variables such that $\mathrm{Pr}(X\geq t)\leq\mathrm{Pr}(Y\geq t)$ for all $t\geq0$. Now take $X_1,\ldots,X_n$ to be independent with the same distribution ...
10 votes
2 answers
590 views

"Fractional sampling" from a probability distribution

My question concerns an operation on probability distributions which has arisen in some applied research. It is well-defined mathematically (at least in a limited context), but I don't know how to ...
1 vote
0 answers
100 views

Distribute Monte Carlo samples among dimensions

Simplified problem: Given a $d$-times nested convolution of an input function $g(x):\mathbb{R}\mapsto \mathbb{R}$ with the same band-limited smooth function $f(x):\mathbb{R}\mapsto \mathbb{R}$. I am ...
0 votes
1 answer
376 views

Probability of disc-disc overlap for discs placed with uniform probability on a surface until a density $\rho$ is achieved

Imagine I place discs of radius $r$ on a two-dimensional plane, selecting their positions with uniform probability across the surface of the plane, and stop when I reach a disc density $\rho$. As a ...
2 votes
1 answer
873 views

Maximum of a sequence of $n$ positive random variables where variance is an increasing function of $n$

Suppose I have a sequence of $n$ i.i.d. random variables $X_1,X_2,\ldots,X_n$. Each $X_i$ is positive and has variance $\sigma(n)$ that is an increasing function of the number of variables in the ...
4 votes
0 answers
454 views

Binomial Expectation of Convex Function

Suppose $x$ has a binomial distribution with chance $\alpha$ drawn $k$ times, and let $f(x)$ be a positive convex real valued function. I would like to evaluate $$\frac{\partial}{\partial \alpha} \...
1 vote
1 answer
1k views

Distribution of last time Brownian motion crosses a line

Is the distribution of the last time Brownian motion crosses a line y=a*x known? (Equivalently, the distribution of the last time a Brownian motion with downwards drift hits 0.) It's not hard to give ...
2 votes
1 answer
767 views

Finding the Levy triplet of a Levy process

I know the levy triplet of a Poisson process $N_t$- $(0,0,\lambda\delta_{1}(y))$ and its characteristic function is $\phi_N=exp[-t\Bigl(\intop_{0}^{\infty}(1-e^{iuy}+iuy1_{\{\mathbf{|}\mathbf{y}|&...
0 votes
1 answer
151 views

Joint law for number of visits in transient simple random walk

Consider a simple $1$-dimensional random walk $X_n$. Let $p$ and $q$ (with $p+q=1$) be the probability of transitions from $n$ to $n+1$ and from $n$ to $n-1$ respectively, and suppose that $p>q$ ...
3 votes
0 answers
121 views

Expected size of $k$-th layer of a POSET

Is this known? What is the expected width of the $k$-th layer (anti-chain layer) of a $d$-dimensional partially ordered set of $n$ elements formed by product of $d$ random linear orders chosen from ...
0 votes
1 answer
733 views

$L^2$ convergence of a tight sequence [closed]

Let $(X_n,n\geqslant 1)$ be a tight sequence of stochastic processes defined on the same probability. Suppose $\lVert X_n\rVert_{L^2}$ converges to $\lVert X\rVert_{L^2}$. Under what conditions do we ...
4 votes
0 answers
405 views

Reference request: stationary measures as convex combinations of ergodic measures

Does anyone know a good reference for the fact that a stationary probability measure is a convex combination of the stationary and ergodic probability measures? I have found some references for the ...
5 votes
1 answer
280 views

Rotation-invariant strict-inclusion-preserving preorderings on subsets of the circle

Say that a preordering $\le$ on a set of subsets of some space preserves strict inclusion provided that $A\lt B$ whenever $A\subset B$ (where $A\lt B$ iff $A\le B$ and $B \not\le A$). Let the space ...
2 votes
1 answer
235 views

Determining the asymptotic behavior of some function of random matrix

Consider a series of random matrices $X_n\in\mathbb{R}^{n\times m}$ consisting of i.i.d. entries, each with zero mean and variance $1/m$, and let $a_n,b_n\in\mathbb{R}^{n\times1}$ be two deterministic ...
3 votes
1 answer
220 views

Number rank-k 0-1 matrices (characteristic 0)

What is the number of $n\times n$ 0/1-matrices with rank $k$? (The rank is taken over the rationals.)
1 vote
1 answer
221 views

Geometric Expectation Inequality

Suppose $f(z)$ is a discrete probability distribution with space $S$. Suppose $g(z),h(z)>0$ for all $z \in S$. Is it true that $$\prod_{z \in S}{g(z)^{f(z)}}+\prod_{z \in S}{h(z)^{f(z)}} \leq \...
4 votes
1 answer
178 views

Number of times a Gaussian process crosses zero in an interval

Using a probabilistic method for number theoretic purposes, I have encountered the following question (it may be very standard): Let $X_t$ be a Gaussian process $(t>0)$ such that $X_0=0$. What ...
6 votes
1 answer
330 views

Best and worst centrally symmetric convex covering shapes

Suppose you have a centrally symmetric convex 2D shape $C$ of area $A$, and you randomly throw down copies of $C$ on the plane so that each $C$-center lies within a given unit square $S$, until $S$ is ...
5 votes
1 answer
410 views

Is "small" dependence enough for central limit theorem?

Writing down a paper about some estimation of some combinatorial quantities, i realized that i would have much more precise results if these two questions have positive answer: 1) Suppose you have a ...
10 votes
2 answers
1k views

Does the strong law of Large Number hold for an infinite dimensional Brownian motion?

For finite-dimensional Brownian motion $W_t$, it is well known that \begin{equation} \lim_{t\to \infty}\frac{W_t}{t}=0,\text{ a.s. }\ \ \ \ \hspace{1cm} \langle 1\rangle \end{equation} Now suppose we ...
4 votes
0 answers
183 views

Concentration inequality for function of independent Bernoulli r.v.'s (related to random graph)

Consider a random undirected graph on a set of $n$ nodes, say $\{1,2,\ldots,n\}$, such that the probability of edge between nodes $i$ and $j$ is $p_{ij}$ (we may assume $p_{ij}=o(1)$ for all $i,j$, i....
5 votes
0 answers
569 views

Argmax of random walk vs of Brownian motion

Consider a random walk on $\mathbb{Z}$ with triangular drift and jumps that are standard normals. That is, $$ \begin{cases} RW_{t+1} = RW_t - d + \epsilon_t, \quad t \geq 0,\\ RW_{t-1} = RW_t - d + \...
2 votes
0 answers
793 views

Expected number of distinct elements out of random selection [closed]

What is the expected number of distinct elements when choosing N random elements of a set of size N?

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