All Questions
Tagged with pr.probability probability-distributions
1,384 questions
2
votes
0
answers
70
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Poisson process subordinated by a gamma process
I am working on a problem and I encountered the following situation:
$(N(t): t \ge 0)$ is a Poisson process with parameter $\lambda t $. If $T_{n} = \sum_{i=1}^n W_i$ represents the $n^\text{th}$ ...
7
votes
1
answer
508
views
An order statistics problem with some interesting geometry
Let $a_n$ be a given sequence of positive numbers, and $X_n$ a sequence of independent random variables with each $X_n$ uniformly distributed on $[0, a_n]$.
Question: Let $N \geq 2$ be an arbitrary ...
- 6,215
1
vote
1
answer
69
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Expected value of MGIG distribution
I'm currently dealing with a Gibbs sampler of the multivariate generalized inverse Gaussian distribution (MGIG). In order to check the correctness of the sampler, I'd like to know the expected value ...
CommunityBot
- 1
5
votes
2
answers
203
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Convex hull of bivariate normal random points
Let $n > 1$, and $p_1, \ldots, p_n \in \mathbb{R}^2$ be iid random points following a bivariate normal distribution (doesn't matter which one), and let $X_n$ be the number of vertices of convex ...
CommunityBot
- 1
0
votes
0
answers
93
views
Distance between binomial and normal distributions
I want to compare binomial distribution $Bin(n,p)$ with a constant $p$ when $n\rightarrow \infty$, to a normal distribution with $\mu=np,\sigma^2=np(1-p)$.
How close are they with the discrete ...
- 107
1
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0
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69
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Simulating binomial distribution
$\DeclareMathOperator\Bin{Bin}\DeclareMathOperator\Pr{Pr}$I have a series of distributions $D_k=\Bin(3k,\frac{1+k^{-1/3}}{3})$, and a distribution $D_{k,\ell} = k +\Bin(k,\ell)$ parametrized by $\ell\...
- 63.9k
2
votes
1
answer
105
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Inequality for Gaussian measures
Let $\mu$ denote a centered Gaussian measure on $\mathbb{R}^k$, $K=(-\infty, a] \times \mathbb{R}^{k-1}$ ($a\ge 0$) and $L=\mathbb{R}\times C$ where $C$ is a convex set in $\mathbb{R}^{k-1}$, ...
- 109k
0
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0
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31
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What is the Fisher information matrix of the von Mises-Fisher distribution?
Assuming the von Mises-Fisher distribution as
$$f_{p}(\mathbf{x}; \boldsymbol{\mu}, \kappa) = C_{p}(\kappa) \exp \left( {\kappa \boldsymbol{\mu}^\mathsf{T} \mathbf{x} } \right),$$
where $\kappa \ge 0$,...
- 287
9
votes
1
answer
155
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How to sample exactly k indices given the inclusion probabilities of all indices?
Let $k<d$ two positive integers, and $\{p_i\}_{i=1}^d$ a series of probabilities, with $p_i \in (0,1)$ and $\sum_{i=1}^d p_i = k$.
We wish to sample exactly $k$ distinct indices $\mathcal{I}\...
- 1,676
3
votes
0
answers
353
views
Moments of normalized multivariate Gaussians (and Wick's/Isserlis theorems)
Suppose $x = \begin{bmatrix}x_1 \\ x_2\end{bmatrix}$ is distributed according to the real two-dimensional Gaussian with mean-$0$ and covariance matrix $\Sigma$. I am interested in a closed form for ...
- 193
3
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0
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131
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Matrix-Gaussian distributions
The point of this question is to ask for references on matrix-variate Gaussian distributions. But I will explain what I mean by a matrix-variate Gaussian with an example (the notion I have in mind is ...
- 193
5
votes
1
answer
392
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comparing Gaussian to order statistic of Gaussian
I would like to compute the probability of
$$\mathbb{P}[Y > \max(X_i)], Y\sim N(0, 1), X_i \sim N(0, \sigma_i)$$
All the random variables have zero mean, but the variances are different.
My ...
0
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0
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149
views
Reference book for a probability course
In the next months I am planning to deliver a (more-or-less) advanced course in probability theory. My students will have had already a first encounter with discrete probability theory (discrete ...
- 869
3
votes
2
answers
512
views
Fourier transform of eigenvalue distribution of GUE matrices
I am interested in explicit expression or bounds for the Fourier transform (characteristic function) of the joint probability distribution of eigenvalues of random matrices $X\sim \mathrm{GUE} (d)$, ...
- 188k
2
votes
1
answer
177
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Optimization over Poisson-binomial distributions
I am studying the problem of how an expected utility maximizer should optimally form a portfolio of uncorrelated Bernoullis.
Fix an increasing sequence of $n$ numbers in $(0,1)$, $0<p_1<\dots<...
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1
vote
1
answer
187
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Bound the distance between two vectors on the probability simplex
Let $a,b$ be two vectors with strictly positive elements and $\delta = 1 - \frac{\langle a,b \rangle}{\|a\|\|b\|}$. Bound the following optimization problem as a function of $\delta$
$$\sup_{x>0} \...
CommunityBot
- 1
0
votes
1
answer
78
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Uniform concentration bound (function-valued random variable / continuous stochastic process)
I'm trying to consider a probability space $\Omega$ and
$f(x,\xi):\mathcal{X}\times\Omega\to\mathbb{R}$ (stochastic process over space? or function-valued random variable?), where $\mathcal{X}\subset\...
- 321
2
votes
1
answer
172
views
General definition for $k$-dependence of a family of sub-$\sigma$-algebra
If $(\Omega,\mathcal{F},\mathbb{P})$ is a probability space, is there a general definition for the "$k$-dependence" of an arbitrary family $(\mathcal{F}_i)_{i \in I}$ of sub-$\sigma$-algebra ...
CommunityBot
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1
vote
1
answer
81
views
Inference for the normal distribution with known variance from multiple clusters
Here's the question:
We have: $q \sim N\left(q_p, \frac{1}{\tau}\right), q_i \sim N\left(q, \frac{1}{\zeta}\right), t_n \sim N\left(0, \frac{1}{\eta}\right)$. Let $$ r_n=\sum_{i=1}^{\theta k_{n}} \...
- 25.8k
0
votes
0
answers
85
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When is a family of distributions "closed" with respect to minimal sufficient statistics?
As in the title, I am interested in understanding how to express the idea that a parametric family of distribution is "closed" with respect to minimal sufficient statistics. Before giving ...
2
votes
1
answer
281
views
Hermite polynomial and Gaussian random variable
The following formula is well known: $E[H_k(X,E[X])H_q(Y,E[Y])]=\delta_{kq}E[XY]^k$ for a joint Gaussian r.v. $(X, Y),$ $H_k$ are Hermite polynomiale.
Is there a generalization for this to a joint ...
- 1,190
0
votes
0
answers
29
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Conditional Expectation of Normal Distribution $E(q+t_1|r)$
I have difficulty deriving the follow conditional expectation:
there are N cluster of $q_{ni}+t_n$, each cluster has $k_n$ elements, $q_{ni}\sim N(q,\dfrac{1}{\zeta})$, $q\sim N(q_p,\dfrac{1}{\tau})$, ...
- 31
1
vote
2
answers
108
views
Does stochastic boundedness imply stochastic domination by a constant multiple?
Let $X, Y$ be non negative random variables with finite expectation. We say that $Y$ stochastically bounds $X$ if there exists some $C > 0$ such that for all $x \in \mathbb R$,
$$\mathbb P(X \geq x)...
- 128k
3
votes
1
answer
143
views
Does stochastic domination of $X$ and $Y$ imply stochastic domination of $X \cdot Y$?
Suppose the random variables $X \geq 0$ and $Y \geq 0$ are both stochastically dominated by $Z \geq 0$, i.e.
\begin{align*}
& P(X \leq x), P(Y \leq x) \geq P(Z \leq x) \ , \ \forall x \geq 0 \ .
\...
- 128k
2
votes
0
answers
50
views
Weighted squared norm of multivariate truncated normal vector
Let $X \sim \mathcal{N}(0, \Sigma)$ be a multivariate normal vector with zero mean and inverse covariance matrix
$$
\Sigma^{-1} = \begin{pmatrix}
n & 1 & 1 & \cdots & 1 &...
2
votes
1
answer
87
views
How to prove: $\gamma^2=\frac{n-p}{(n-1)p}\tau^2\sim F_{p,n-p}$, where $\tau^2\sim T^2(p,n-1)$
In multivariate statistics it is used to do hypothesis tests for Hotelling's $T^2$ distribution, but no textbooks prove this. Is there any proof for it?
- 128k
3
votes
2
answers
216
views
Approximating the probability that two Binomial variables are equal
Let $X,Y\sim Bin(n,p)$ be independent R.V.s and let $z\in[n]$ be integer.
My goal is to approximate the probability that $P[X-Y=2z]$.
What i need is a tight enough bound with error that is at most $o(\...
- 128k
2
votes
1
answer
170
views
Law of large numbers for a continuum of Bernoullis
Suppose I have a family of $n$ independent Bernoulli random variables described by a vector of parameters $(p_i)_{i=1}^n$. As it is well known, the number of successes within this family is a random ...
- 63.9k
4
votes
0
answers
112
views
MGFs of sum of (Rademacher) independent variables and (hyperbolic/spherical) Pythagorean theorem
Consider a set of iid random variables $X_1, X_2, \ldots$ (distribution to-be-specified later). For real numbers $a_1, a_2, \ldots$ (with $\sum_{k} a_k^2 < \infty$) define
$$X = a_1 X_1 + a_2 X_2 +...
- 637
1
vote
1
answer
435
views
How to calculate the probability of 2 events happening in time series under only cdf information?
In time domain $0\rightarrow T$, there are two independent events $A$ and $B$.
$B$ follows Poisson Process with density $\lambda$. It's easy to get $P_B(t)$ which denotes $P_B(N(\tau+t)-N(\tau)\geq 1)...
CommunityBot
- 1
8
votes
2
answers
2k
views
Median and mean of the sample mean of i.i.d. log-normal
Let $y:=\frac1n\sum_{i=1}^n x_i$, where $\{x_i\}_{i=1}^n$ is a set of i.i.d. random variables, and every $x_i$ has a lognormal distribution $x_i \sim\text{Lognormal}(\mu,\sigma^2)$. Let $\text{Med}[y]$...
- 4,713
3
votes
1
answer
70
views
A rearrangement majorant of two random variables
$\newcommand{\Om}{\Omega}\newcommand{\F}{\mathcal F} $Let $X$ and $Y$ be random variables (r.v.'s) defined on a non-atomic probability space $(\Om,\F,P)$ such that $P(X<0)>0$ and $P(Y<0)>0$...
- 128k
5
votes
2
answers
730
views
Probabilty measures that are both discrete and continuous
Consider a measure space $\left(S,\Sigma\right)$ where each state $s\in S$ can be expressed as $s=\left(x,c\right)$, where $x\in\mathbb R$ and $c\in\mathbb N$. E.g., suppose $s$ denotes the state of a ...
2
votes
1
answer
331
views
Prove or disprove the linearity of expectiles
For expectation (mean), there are many useful properties such as Linearity of Expectation:
$\mathbb{E}[X+Y]=\mathbb{E}[X]+\mathbb{E}[Y]$
$\mathbb{E}[\alpha X]=\alpha\mathbb{E}[X]$
(The two equations ...
2
votes
0
answers
118
views
the projection distribution induced by integral points on the sphere
Let $A=\{\mathbf{v} \in \mathbb{Z}^{n}: \|\mathbf{v}\|^2= m \}$ and a fixed $\mathbf{y}\in \mathbb{R}^n$, the norm here refers to the Euclidean norm.
Suppose $\mathbf{x}$ is a uniform distribution on ...
- 253
2
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1
answer
246
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Does $X_t$ with $t>0$ admit a density?
$
\newcommand{\RR}{\mathbb{R}}
\newcommand{\TT}{\mathbb{T}}
\newcommand{\NN}{\mathbb{N}}
\newcommand{\PP}{\mathbb{P}}
\newcommand{\EE}{\mathbb{E}}
\newcommand{\FF}{\mathbb{F}}
\newcommand{\PPP}{\...
- 6,215
2
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1
answer
136
views
Concentration bound for a increasingly weighted sum of bernoulli random variables
Given $x_1,x_2,\ldots,x_n$ i.i.d. bernoulli random variables with $P(x_i=1)=\frac1n$. Given a constant $c=1+\frac{1}{m}, m\geq n$. Is there an explicit theorem that can derive a concentration argument ...
- 128k
1
vote
1
answer
99
views
Maximum column norm of random $A^{-1}B$
Suppose that $A$ is an $n$ by $n$ Gaussian matrix (each component i.i.d. normal distributed with mean 0 and variance 1). Let $b$ be a $n$-Gaussian vector. Then it could be easily proven that the ...
- 3,741
1
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0
answers
43
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Definition of "interval of continuity" for function defined on sets
At the beginning of Chapter 8 of Kubilius's Probabilistic Methods in the Theory of Numbers, the author defines $Q=Q(E)$ to be a completely additive nonnegative function defined for all Borel subsets $...
- 12.8k
6
votes
1
answer
374
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Almost evenly distributed spherical random vectors
Consider $n$ i.i.d spherically distributed random vectors $z_1 ,\cdots , z_n \sim \text{Unif}(\mathbb{S}^{d-1})$. What is the best lower bound on $n$ for which whp there exists a constant $c>0$ ...
2
votes
2
answers
2k
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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$ ...
2
votes
0
answers
55
views
stochastic process and integral
Let $(X_n(t))_{t\in [1,+\infty], n\geqslant 1}$ be a sequence of nonnegative random variables and $(\mathcal{F}_s)$ a filtration ($\mathcal{F}_s \subset \mathcal{F}_r$ for $s\leqslant r$). We assume ...
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0
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0
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74
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Finding a collection of random variables satisfying (exactly or numerically) a given set of moment identities
Let $X_p$ for $p\in \mathbb{Z}$ be a collection random variables that satisfy for all $k>0$, $p\in \mathbb{Z}$:
$$\sum_{p_1+\dots+p_k=p} \mathbb{E}[X_{p_1} \dots X_{p_k}]=\begin{cases}
0 &...
- 133
0
votes
0
answers
90
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What is the direct role of exchangeability in ensuring coverage in conformal prediction?
I was wondering how exchangeability directly relates to the proof of the coverage guarantee in conformal prediction. In most papers I have seen, usually they say that by exchangeability the order of ...
- 21
0
votes
0
answers
87
views
Comparison between the expected values of the inverse of the CDF of binomial-distributed random variables
Let us denote with $F(x;j,\mu)$ the cdf of a Binomial distributed random variable with $j$ trial with success probability $\mu$ considered in $x$, and let $f(x;j,\mu)$ be the pmf. Defining $0\leq \...
- 63.9k
12
votes
3
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2k
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How to efficiently sample uniformly from the set of $p$-partitions of an $n$-set?
Let $n,p \in \mathbb{N}_+$ with $p \leq n.$ Let $\mathcal{P}$ denote the set of partitions of $\{1, \ldots, n\}$ into $p$ nonempty sets. How can I efficiently sample uniformly from $\mathcal{P}$?
- 4,713
28
votes
1
answer
6k
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1-Wasserstein distance between two multivariate normal
The $p$-Wasserstein between two measures $\nu_1$ and $\nu_2$ on $X$ is given by
$$d_p(\nu_{1},\nu_{2})=\left(\underset{\pi\in\Gamma(\nu_{1},\nu_{2})}{\inf}\int_{\mathbf{\mathcal{X}}^{2}}d(x,y)^p\pi(dx,...
- 4,713
0
votes
2
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963
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Product of three or more independent sub-Gaussian varibles
A random variable $X$ is called subgaussian of order $\sigma^2$ if $\log E[exp\{\theta X\}]\leq \frac{1}{2}\theta^2\sigma^2$ for every $\theta\in\mathbb R$.
Given a sequence of independent subgaussian ...
- 1
1
vote
1
answer
200
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Chebyshev's inequality for Poisson distribution
Reading an old Richard Karp paper, in which he mentions this argument "Application of Chebyshev's inequality yields the result that, if $X$ is Poisson distributed with mean $\lambda$, then $E(X\...
2
votes
1
answer
86
views
From convergence of sequences to uniform convergence in probability
For $n=1, 2,\ldots$ consider a sequence of sets of ascending integers $I_n=\{\underline{i}_n,\underline{i}_n+1, \ldots, \overline{i}_n\}$, with $\underline{i}_n \to \infty$ and $\underline{i}_n=o(\...
- 128k