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Questions tagged [tail-bound]

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4 votes
2 answers
147 views

Concentration bounds for a mixture of a fixed value and a uniform distribution

Suppose we have a mixed random variable $R= (1-p)X + pU$, where $X$ is just a single value $X \in [-\pi, \pi]$, $0 \leq p \leq 1$, and $U \sim \text{Uniform}[-\pi, \pi]$. I.e. a single trial returns $...
Sam Pallister's user avatar
0 votes
0 answers
29 views

Concentration inequality for sums of independent gamma random variables

I am dealing with the following problem: Say $X_1, \ldots, X_n$ are independent Gamma random variables, each one having shape and rate parameters $\alpha_i$ and $\beta_i$, respectively. Let $S_n = \...
HeyCool08's user avatar
7 votes
1 answer
219 views

Bound Product of Independent Gaussians

I'm interested in obtaining upper bounds on $$ \Pr[\prod_{i\in[n]}|G_i| > x] $$ where $G_i\sim\mathcal{N}(0,1)$ i.i.d, and $[n] := \{0,1,\dots,n-1\}$. The most naive bound is to note that each $G_i$...
Mark Schultz-Wu's user avatar
0 votes
0 answers
32 views

Concentration bound for weighted sum of Bernoullis

$\{X_i\}_{i=1,\ldots,n}$ are i.i.d. Bernoulli random variables with parameter $p$. Define $$Y = \sum_{i=1}^n a_iX_i$$ where $a_i>0$ are known(non-random) constants. I want an upper bound on the ...
smako's user avatar
  • 1
6 votes
3 answers
204 views

Upper Bound on $\mathbb{E}[\frac{1}{1 + X}]$ where $\mathbb{E}[X] = a$ and $0<𝑎<1$

$𝑋$ is a positive random variable (potentially unbounded) with $0 \le \mathbb{E}[X] = a < 1$. Since $\phi(x) = \frac{1}{x}$ is a convex function, we can use Jensen's inequality to derive a lower ...
Otmane's user avatar
  • 83
0 votes
0 answers
29 views

Probability bound on Maxima under random sampling

I have a set $S$ = {$e_1,e_2,..e_{400}$} of 400 elements and a non-linear function $f:2^{(S)}\to[0,1]$ that takes a subset of $S$ and returns a real number in $[0,1]$. I want to compute the subset for ...
CSStudent's user avatar
  • 121
2 votes
1 answer
70 views

For random variable $Z=\max_i X_i$, can we bound $\mathbb{E}(Z|Z>\tau)$ with $\mathbb{E}(Z)$

Let $X_1,…,X_n$ be independent, but not necessarily identical, non-negative random variables. Let $Z=\max_i(X_i)$. Fix a real $\tau > 0$. Is there a way to lower bound $$\mathbb{E}(Z|Z>\tau) >...
AspiringMat's user avatar
5 votes
1 answer
313 views

How to construct a confidence interval for the coefficients of a multivariate regression with dependence between dependent variables?

Suppose we have two linear regression models $y_1=a+bx+\epsilon_1$ where $\mathbb[\epsilon_1]=\sigma_1$ and $y_2=c+dx+\epsilon_2$ where $\mathbb[\epsilon_2]=\sigma_2$. In other words, I am using the ...
Amin's user avatar
  • 693
2 votes
0 answers
111 views

Bound on the expectation of a function of random variable having a strictly log-concave probability density

let $\theta \in \mathbb{R}^d$ be a random variable having a strictly log-concave probability density function, i.e \begin{equation} p(\theta) = e^{-\phi(\theta)} \end{equation} where $\phi(\theta)$ is ...
zsheeba's user avatar
  • 21
3 votes
0 answers
61 views

Does Cramer's condition imply strong mixing?

In Theorem 1.4 of D. Bosq the Cramer's condition is a prerequisite for the tail bound of sum of dependent variables. The Theorem is as follows: Let $(X_t,t\in\mathbb{Z})$ be a zero-mean real-valued ...
Carl's user avatar
  • 1,226
1 vote
0 answers
23 views

Lower bounding the sum of product of two sub-Gaussian variables where one follows an AR(1) process

Suppose we have the sum \begin{equation} \sum_{t=2}^{n}\epsilon_{t-1}u_t \end{equation} where $\epsilon_t$ and $u_t$ are both sub-Gaussian variables. Further suppose that while $u_2,\cdots,u_n$ are i....
Carl's user avatar
  • 1,226
2 votes
1 answer
62 views

A front-loaded Gumbel-like distribution

I'm looking for a distribution that is somewhat like the Gumbel distribution and I was wondering if anyone could help. The parameters are a positive integer $n$ and real numbers $\mu>0$ and $\sigma&...
Charles's user avatar
  • 1,238
2 votes
1 answer
241 views

Bounding the tail of sum of discrete distributions (via sub-gaussianity)

I have the following problem: we have a sequence of random variables $Z_1, ..., Z_n$ which are summed up; let's denote $X$ to be their sum. We observe a number $\epsilon$ that is sampled from $X$ and ...
Jakub Koubele's user avatar