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On the growth of sample paths of Gaussian random fields

Consider a centered Gaussian random field on $\mathbb{R}^n$ with continuous covariance and a.s. continuous sample paths. What is known about the growth of the sample paths at infinity of such a random ...
S.Z.'s user avatar
  • 505
4 votes
1 answer
363 views

Maximal ergodic inequality

A map $f: X \to X$ preserves an ergodic probability $\mu$, i.e., $\mu \circ f^{-1}=\mu$ and for any $\phi: X \to \mathbb{R}$ with $\int \phi d\mu=0$, $$\frac{1}{n} \sum_{i \le n} \phi \circ f^i \to 0 \...
John's user avatar
  • 43
5 votes
1 answer
512 views

Concentration inequality for Hilbert space valued random variables

I have read in a paper about the following result: Let $V$ be a separable Hilbert space and $(\Omega,A_{\Omega},P)$ a probability space. Suppose that $Y_1,Y_2,...$ is a sequence of independent $V$-...
Hugo10T's user avatar
  • 115
3 votes
0 answers
158 views

$L^\infty-L^\infty$ bounds for heat semigroups constructed from the Dirichlet Laplacian

Let $D \subset \mathbb{R}^n$ be a bounded domain with Lipschitz boundary, and let $\Delta$ be the Laplace operator with the Dirichlet boundary condition on $D$. Let $e^{t\Delta}$ be the corresponding ...
SMS's user avatar
  • 1,407
2 votes
1 answer
106 views

Equivalent of a local limit theorem in the large deviation region and asymptotics of a convolution operator

Let $\{X_i \}_{i \in \mathbb{N}}$ be a sequence of i.i.d. random variables satisfying $\mathbb{E} X_1 = 0$ and $\mathbb{E} X_1 ^2 < \infty$. Assume that $\{S_n  \}_{n \in \mathbb{N}}$ is a non-...
Viktor B's user avatar
  • 724
2 votes
0 answers
98 views

Has this "optimal constrained transport" notion of convergence of measures been named and/or studied?

Let $(X,d)$ be a compact metric space, and let $\{\mu_n\}_{n \in \mathbb{N} \cup \{\infty\}}$ be a family of Borel probability measures on $X$. Fix $L \geq 1$. I will say that $\mu_n$ converges in ...
Julian Newman's user avatar
1 vote
1 answer
210 views

Liouville property of hyperbolic spaces

It seems classically known (and mentioned in several papers without reference) that there exist bounded non-constant harmonic functions on the hyperbolic space $\mathbb{H}^n, n \geq 2$. I am ...
SMS's user avatar
  • 1,407
4 votes
0 answers
204 views

log-concavity and local CLT

If a sequence of 1-dimensional log-concave integer-valued distributions satisfies a Central Limit Theorem (CLT) and has variance going to $\infty$, then it satisfies a Local Central Limit Theorem (...
Brendan McKay's user avatar
3 votes
2 answers
348 views

General version of $d$-separation

I find the $d$-separation criterion (see, e.g., Theorem 2 here; note however the preceding definition, which basically means we are treating discrete random variables) a really useful sufficient ...
Steve's user avatar
  • 1,095
2 votes
3 answers
561 views

Looking for a reference: $f$-divergences are lower semicontinuous

I know that the weak lower semi-continuity of the KL divergence was proved in [1]. If I remember well, the same property is true for any $f$ divergence (with suitable assumptions on the probability ...
ECL's user avatar
  • 345
1 vote
1 answer
106 views

What is the maximum possible coefficient of variation for data taking values within a specified range?

I have a question that seems very basic, and yet I have not managed to find an answer after probably several hours of Google-searching. Fix $0<a<b<\infty$, and let $\mathcal{P}_{[a,b]}$ be ...
Julian Newman's user avatar
0 votes
1 answer
643 views

A good approximation for collision probability between (two) sets of random variables

We face many places to find the collision probability of two sets (or more) in my case the cryptographic hash functions. We can formalize as; Given two sets of random variables $\mathbf{A}$ and $\...
kelalaka's user avatar
  • 115
1 vote
1 answer
160 views

Estimates of product of eigenvalues gaps for Wigner matrices

Let $W_n$ be an $n\times n$ Wigner matrix$^{1}$, and let $\lambda_1\le \lambda_2\le \cdots \le \lambda_n$ be the eigenvalues of $\frac{W_n}{\sqrt{n}}$. My question. For any fixed $i\in\{1,\dots,n\}$, ...
Ludwig's user avatar
  • 2,712
2 votes
1 answer
196 views

Pointwise almost sure convergence implies global convergence

Sorry in advance if this is not sufficiently research-level, it is really more of a reference request since the proof is not difficult. Let $\mathcal{Y}$ be a compact set, let $\{X_n\}$ denote a ...
Tom Solberg's user avatar
  • 4,049
0 votes
1 answer
79 views

Visualization PDF of distribution defined by quantiles

How can I visualise PDF of distribution defined by quantiles, that I predict with my neural network? Now I'm passing quantiles to the histogram, but I don't think it is the correct way for visualising....
Bc. Martin Kubovčík's user avatar
1 vote
0 answers
191 views

Characterization of Poisson random measure in terms of Laplace transform

Let $(E,\mathcal E)$ be a measurable space and $\mu$ be a measure on $(E,\mathcal E)$. A random measure $\pi$ on $(E,\mathcal E)$ is called Poisson with intensity $\mu$ if $\pi(B)\sim\operatorname{...
0xbadf00d's user avatar
  • 167
2 votes
2 answers
248 views

On an angle distribution of a random linear subspace of a given dimension

$\newcommand\R{\mathbb R}$ Let $u$ be a fixed unit vector in $\R^n$, and let $\Pi_u$ be the hyperplane in $\R^n$ with normal vector $u$. Let $B$ be the (say open) unit ball in $\R^n$ centered at the ...
Iosif Pinelis's user avatar
2 votes
1 answer
97 views

Subset which maximizes $\frac{\int_E\min(p(x), q(x))}{\int_E\max(p(x), q(x))}$?

Let $p(x), q(x)$ be two p.d.f.s of distributions on $\mathbb{R}$. I am interested in finding the subset $E$ that maximizes the quantity $$\frac{\int_{E}\min(p(x),q(x))\mathrm{d}x}{\int_{E}\max(p(x),q(...
Mark Schultz-Wu's user avatar
0 votes
0 answers
133 views

Spectral CLT for random matrices with iid entries

Let $\lambda_1(A_n),...,\lambda_n(A_n)$ be the random eigenvalues of a random $(n \times n)$ matrix $A_n$. We can define the empirical spectral measure $\mu_n^{A_n}$ on $(\mathbb{C},\mathcal{B}(\...
Ben Deitmar's user avatar
  • 1,295
8 votes
1 answer
691 views

Probabilistic proof for derivative of invariant distribution of a Markov chain

Let $P$ be an irreducible Markov matrix, and $\pi$ its stationary distribution. Let $D$ be a perturbation matrix which is zero except for two entries in row $r$: $$D_{rg}=+1 \qquad D_{r\ell}=-1.$$ Let ...
Ben Golub's user avatar
  • 1,068
2 votes
0 answers
110 views

Moment of the hitting measure of a subgroup

Given a [finitely generated] group $G$ and a finite generating set $S$, a measure $\mu$ will have finite $\alpha$-moment if $\sum_{g \in G} \mu(g) |g|_S^\alpha$ is finite (where $|g|_S$ is the word ...
ARG's user avatar
  • 4,432
4 votes
0 answers
179 views

As increasingly higher degree terms are added to a "random" polynomial, how fast do the roots approach the unit circle?

As increasingly higher degree terms are added to a "random" polynomial, the roots of a polynomial can be proven to approach the unit circle. For example, see the MathOverflow question Why ...
Likes Algorithms's user avatar
1 vote
0 answers
172 views

Number of $k$-cycles in a random Mallows permutation

It is well-known that for uniform random permutations, the number of $k$ cycles for fixed $k$ is distributed as a Poisson random variable with mean $1/k$. I am looking for similar results on the ...
Permuton's user avatar
1 vote
1 answer
308 views

What is this optimization problem called

Let $X$ be a set and $\mathcal{F}$ be a set of functions $f:X \to \Bbb{R}$ (for my purposes, it is fine to assume both sets are finite). For a probability distribution $\mu$ on $\mathcal{F}$, we ...
Zach Hunter's user avatar
  • 3,499
1 vote
0 answers
116 views

A formula involving the heat kernel on the universal cover of a punctured plane

I am looking for the earliest reference to the following formula: $$ \int_0^\infty\tilde{P}(1,e^{i\alpha},t)\frac{dt}{t}=\frac{1}{\pi \alpha^2},\quad \alpha>0, $$ where $\tilde{P}(x,y,t)$ is the ...
Kostya_I's user avatar
  • 8,992
2 votes
1 answer
138 views

Reference request: probabilistic models on climate (change)

I am looking for probabilistic models to address climate change. Are they known in the existing literature? I have found the post Math behind climate modeling. concerning PDE models. Many thanks for ...
user avatar
1 vote
0 answers
177 views

A question on Gaussian small ball probability

Consider the random variable $$ G = \sum_{j=1}^{\infty} \lambda_j Z_j^2 $$ where $Z_j \sim_{\substack{i.i.d}} N(0,1)$ and $\lambda_j$ some non increasing sequence of positive numbers with $\sum_{j=1}^{...
Exc's user avatar
  • 119
0 votes
2 answers
804 views

Convergence of stationary distributions of a sequence of Markov Chains

I fairly new in the field of Stochastic Processes and Markov Chains so excuse my ignorance. My question is: If we have a sequence of Markov chains such that each one has a stationary distribution $\pi^...
dimoik's user avatar
  • 13
1 vote
0 answers
348 views

Tail bounds for random Gaussian chaos?

Let $g = (g_1, \dots, g_d)$ be a sequence of independent standard Normal random variables, and suppose $\Sigma$ is a $d \times d$ (deterministic), real, symmetric, positive definite matrix. The Hanson-...
Drew Brady's user avatar
1 vote
2 answers
185 views

Estimates on the discrepancy of random sequences

The discrepancy of a $[0,1]$-valued sequence $n \mapsto \alpha_n$ is the quantity $$D(N; \alpha) \stackrel{\text{def}}{=} \sup_{(a,b) \subset [0,1]} \left|\frac{\#\{1 \leq n \leq N : \alpha_n \in (a,b)...
Arsh Jhaj's user avatar
  • 123
4 votes
1 answer
262 views

Bounded density for diffusions with diffusion coefficients bounded away from $0$

Consider a diffusion given by $$X_t=\int_0^t a(s,X_s)\,dW_s$$ for $t\ge 0$, where $W_\cdot$ is a standard Wiener process/Brownian motion and $a$ is a smooth enough positive function bounded away from $...
Iosif Pinelis's user avatar
3 votes
1 answer
415 views

Well-definedness of maximum likelihood estimation

Consider a family $\{\mu_\theta:\theta\in\Theta\}$ of probability measures on a measurable space $X$. Given $x\in X$, the maximum likelihood estimate is the value of $\theta$ which maximizes the ...
Quarto Bendir's user avatar
2 votes
1 answer
110 views

Lower bound on likelihood of binary outcomes

I am wondering about the following: does there exist a stochastic process $(X_n)_{n \ge 1}$ with values in $\{0,1\}$ on a probability space $(\Omega, \mathcal F, \mathbb P)$ such that for all $n \ge 1$...
Tartrate's user avatar
  • 341
1 vote
1 answer
227 views

Sampling uniformly in a ball of radius $\epsilon$ in the space of dicrete r.v. of m modalities for the total variation metric

I am looking for some reference or an algorithm that allows to sample uniformly in the ball centered at a discrete random variable of n modalities in the TV distance. For the record for 2 discrete ...
The Bridge's user avatar
  • 1,334
0 votes
0 answers
86 views

Expected diameter of a random point set

General problem: For a point set $S\subset X$ in a metric space $(X,d)$, let $\text{diam}(S)=\max_{x,y\in S}d(x,y)$. Given a distribution $P$ on $X$ and $m$ i.i.d. points $x_1,\ldots,x_m\sim P$, what ...
user34500's user avatar
1 vote
0 answers
91 views

A random process with conserved momentum: 'particle decay'?

Consider a particle $p_1$ moving at unit speed along a straight line in $\mathbf{R}^2$, directed by some vector $v_1 \in \mathbf{S}^1$. Equid this particle with a Poisson clock $\tau_1$, with ...
Leo Moos's user avatar
  • 5,038
2 votes
1 answer
329 views

Is $g(v)=\mathbb{E}[f(v+W)]$ a differentiable function of $v$ when $f$ is continuous and $W$ is multivariate normal?

Suppose $f$ is a continuous function on $\mathbb{R}^n$, and $W$ has a multivariate normal distribution on $\mathbb{R}^n$. If the expectation $$g(v)=\mathbb{E}[f(v+W)]$$ is defined for all $v \in \...
user avatar
1 vote
0 answers
77 views

Divergence between random variables after transformation

Let $X$ and $Y$ be random variables with laws $\mu_X$, $\mu_Y$ and $d$ be some $f$-divergence (e.g. KL, total variation, Hellinger). Writing $d(X,Y)$ for the divergence between $\mu_X$ and $\mu_Y$, ...
user34500's user avatar
2 votes
1 answer
2k views

Central limit theorem for weak correlated random variables

I have a sequence of weak correlated continuous random variables $\{X_i\}$ with bounded variance and $\operatorname{Cov}(X_i,X_j)\rightarrow0$ for $|i-j|\rightarrow\infty$. I was able to find a ...
sar1729's user avatar
  • 21
1 vote
0 answers
463 views

Reference request: Introduction to stochastic control theory

I’m looking for a nice readable introductory text to stochastic control theory. Background wise, I know some general stochastic analysis and deterministic optimal control theory. Some criterion I’m ...
1 vote
0 answers
176 views

Functional version of a specific martingale central limit theorem

I am looking for a functional version of Theorem 1b of Heyde. The result states: Theorem (Theorem 1b in Heyde): Suppose that $(M_n)_{n \geq 1}$ is a square-integrable martingale with mean zero. ...
Bert's user avatar
  • 11
2 votes
1 answer
106 views

Lower bounds on random process

Let $\epsilon_1,...,\epsilon_n$ be i.i.d. random signs, $\mathbf{u}_1,...,\mathbf{u}_n$ i.i.d. uniform random vectors on the unit sphere $\mathbb{S}^{d-1}$, assuming $d$ even, and $\mathbf{v}_1,...,\...
TCi's user avatar
  • 23
0 votes
0 answers
60 views

Reference request: Counting integer sequences in homogeneous linear recurrences

Are there references in the literature that deal with the probability of finding an integer sequence in a linear homogeneous recurrence with constant coefficients $ \in \mathbb{Z}$? (or provides a way ...
rgvalenciaalbornoz's user avatar
1 vote
1 answer
286 views

Bound on $i$th largest eigenvalue in a large Erdos-Renyi graphs

Typical magnitude of $i$th largest eigenvalue of an Erdos-Renyi random graph seems to decay at least exponentially with $i$. Is there an analytic expression for the constant in the exponent, or a nice ...
Yaroslav Bulatov's user avatar
1 vote
0 answers
332 views

Markov chains with drift

We consider a Markov process $X$ on a finite set $\mathcal{X} (\neq \emptyset)$. Basically, $X$ is associated with a generator of the following form \begin{align*} Af(x)=\lambda(x)\sum_{ y\in \mathcal{...
sharpe's user avatar
  • 721
0 votes
1 answer
209 views

Factorisation of Gaussian random matrix into random Hermitian and correction factor

By the Bartlett decomposition, one has that for $k \leq n$ and $\mathbf{\Gamma}_{n\times k} \in \mathbb{R}^{n\times k}$ a standard Gaussian matrix with independent entries $$\mathbf{\Gamma}_{n\times k}...
user avatar
1 vote
1 answer
336 views

Bessel process conditioned to stay positive

This question has also been asked on https://math.stackexchange.com/questions/4174928/bessel-process-conditioned-to-stay-positive Suppose the stochastic process $(X_t)_{t\ge 0}$ with start in $X_0:=x&...
maliesen's user avatar
  • 284
2 votes
1 answer
171 views

Mean value formula for fractional heat equation

For the solution $u(z) = u(t,x)$ of the heat equation $u_t -\Delta u = 0$ we have $$u(z_0) = \int_{\Omega_r(z_0)}u(z) K_r(z_0-z) dz,$$ where $$\Omega_r(z_0) = \left\{z \in \mathbb{R}^{N+1}: \Gamma(z_0-...
Zac's user avatar
  • 161
4 votes
2 answers
480 views

Hitting probability of a line

Consider a simple (nearest neighbor) random walk on a lattice $\Bbb Z^2$ which starts at the origin, is constrained to $x\ge 0$ halfplane, and stops when it hits the line $x=n$. Denote by $p(n,k)$ ...
Igor Pak's user avatar
  • 17k
0 votes
1 answer
306 views

Regularity properties of conditional distributions

Let $(X,Y)\in\mathbb{R}^n\times\mathbb{R}^m$ be a pair of random variables with joint density $p(x,y)$. I am interested in the regularity properties of the conditional densities $p(y|x)$ and $p(x|y)$ (...
user19200's user avatar

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