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0 votes
1 answer
31 views

strange bound on correlation for symmetric pdf

I am puzzled by a rather simple fact: The correlation of a symmetric multivariate pdf seems to be bound from below (increasingly strong with the number of dimensions). That seems unlikely to me. But I ...
zufall's user avatar
  • 120
2 votes
0 answers
33 views

Lower bound of $\frac{\|(\mathbf X \otimes \mathbf X^\top)\theta\|_2^2}{np}$

According to Theorem 7.16 of High-Dimensional Statistics: A Non-Asymptotic Viewpoint (M. Wainwright, 2019), we know that for $\mathbf X\in\mathbb R^{n\times p}, X_{ij}\overset{iid}{\sim}N(0,1),$ there ...
Jasper Cha's user avatar
0 votes
0 answers
64 views

How to find vertices of intersection of two hyperplanes?

According to Shapiro and Wilk(1965) in lemma 3, $W$ has lower bound: $na_1^2/(n-1).$ To find this value, they solve the problem: $$Max\quad y'y$$ $$ s.t.\quad 1'y=0,\quad and\quad a'y = 1,\quad and \...
박원빈's user avatar
1 vote
0 answers
27 views

Showing upper and lower Bayesian method of survival function

\begin{equation} \begin{split} S(t) = \frac{1}{\int_{0}^{1}\prod_{m=1}^M\left( \prod_{i=1}^{n_m} (t_{mi}+yx)^{\beta-1}\right)y^{c-1}(1-y)^{d-1}\frac{ \Gamma(\sum_{m=1}^{M}n_m+a)}{\left[\sum_{m=1}^{...
Mmmm's user avatar
  • 11
0 votes
0 answers
54 views

Why is the multivariate normal distribution is $(\Sigma, C)$ sub-gaussian?

The definition of \textit{sub-gaussian} from a book I work with is: $X\in\mathbb{R}^n$ is $(\Sigma,C)$ sub-gaussian if $$\mathbb{P}(\lvert X^\top u\rvert>t)<Ce^{-t^2/(2u^\top\Sigma u)}, \qquad u\...
T.I.'s user avatar
  • 11
0 votes
1 answer
58 views

Bounds on the ratio between second raw moment and expected of absolute value squared

I'm interested in bounds for the ratio $E[X^2]/E[|X|]^2$. The best lower bound is $1$ since $E[|X|] \geq E[X]$ and $E[X^2] - E[X]^2 = Var(X) \geq 0$. On the other hand, I would like to know if there ...
Bridi's user avatar
  • 63
0 votes
0 answers
34 views

2-Stirling number simplification with polynomial

I am looking for a way to either 1) simplify the following equation or 2) provide a reasonably tight upper bound to the following. Note that $\epsilon < 1$, and reasonably also $\epsilon \ll 1$. \...
corduroy0898's user avatar
1 vote
0 answers
17 views

Calculation of lower range confidence interval

Question We observe $x$, the maximum of $n$ values in a random sample from the uniform distribution between $0$ and $c$, where $c > 0$. Find an exact lower range $100(1 - \alpha)\%$ confidence ...
Ethan Mark's user avatar
  • 2,187
0 votes
1 answer
58 views

Bound on the expected time of first success in a series of Bernoulli RVs

Given an infinite series of Bernoulli RVs $X_1,X_2,...$ (which may be differently distributed and mutually dependent), we are given that for every $n>0$, $$\mathbb{E}\left[\sum_{t=1}^{n}(1-X_t)\...
Tanakak's user avatar
  • 47
0 votes
0 answers
30 views

Upper bound of two binomially distributed random variables

Let be $X_1,X_2$ two i.i.d binomially distributed random variables, where $p$ is the probability of success and $m$ the length of the underlying Bernoulli experiment. In a proof our professor argues $$...
Philipp's user avatar
  • 4,564
3 votes
1 answer
94 views

Minimum number of Bernoulli trials until sum reaches threshold with high probability

Let $X_1, X_2, \dots$ be i.i.d. $Bern(p)$ with $p\in (0, 1)$. Let $\delta \in (0,1)$ and $m \in \mathbb{N}$. What is the smallest integer $n \in \mathbb{N}$ such that $$P\left( \sum_{i=1}^n X_i \geq m ...
MATHX's user avatar
  • 153
1 vote
0 answers
48 views

Product of random variables greater than dependent sum of random variables

Let $X := {1\dots m}$ be the set of indexes corresponding to the elements of the vector of i.i.d. random variables $w:=(w_1, \dots, w_m)$. Let there be the subsets $Y, Z \subseteq X$ which may or may ...
Scriddie's user avatar
  • 221
1 vote
0 answers
27 views

Tight bounds for the expected maximum value of k IID Binomial(n, p) random variables

What is the tightest lower and upper bound for the expected maximum value of k IID Binomial(n, p) random variables I tried to derive it : $$Pr[max \leq C] = (\sum_{i = 0}^C {n \choose i}p^i(1 - p)^i)^...
Goli Emami's user avatar
4 votes
1 answer
372 views

Exponential bound for tail of standard normal distributed random variable

Let $X\sim N(0,1)$ and $a\geq 0$. I have to show that $$\mathbb{P}(X\geq a)\leq\frac{\exp(\frac{-a^2}{2})}{1+a}$$ I have no problem showing that $\mathbb{P}(X\geq a)\leq \frac{\exp(\frac{-a^2}{2})}{a\...
stats19's user avatar
  • 103
2 votes
0 answers
92 views

Probabilistic bound on difference of Lipschitz random function

I am currently facing the following problem : Let $(X_1,Z_1),\ldots,(X_n,Z_n)$ be $n$ i.i.d. sample points from some distribution $p$ supported on $\mathcal X\times\{-1,1\}$ where $\mathcal X\subseteq ...
Stratos supports the strike's user avatar
1 vote
0 answers
90 views

Proving the set where probability density function becomes infinite is bounded

For a continuous random variable $X$, with probability density function $p_X(x)$, it is known that there exists a $p_{min} > 0$ such that $p_X(x) \geq p_{min} \forall x \in X$. Also, I know that $X$...
Janne's user avatar
  • 11
0 votes
3 answers
230 views

Lower bound for $\sqrt{x} - \sqrt{x-1} $ [closed]

Does anyone know any useful lower bound for $\sqrt{x} - \sqrt{x-1} $ for $x>1$. I have a problem where I want to find a lower bound for $$\sqrt{C \log(n)} - \sqrt{C \log(n)-1} $$ for a positive ...
Victor's user avatar
  • 3
1 vote
0 answers
48 views

Upper Bound for Moments for Product of Sample Means

I have a question about the upper bound of the following moment. Suppose that $(A_1, e_1),\ldots, (A_n, e_n)$ are i.i.d. with $E(e_i)=0$. I am wondering if we have the bound $$E\bigg(\bigg\|\frac{\...
beginner's user avatar
1 vote
0 answers
102 views

Concentration bound for the distribution of the difference of two random variables

If we use $\Rightarrow$ to represent convergence in distribution and suppose that $X_n \Rightarrow N(0,\sigma_1)$ and $Y_n \Rightarrow N(0,\sigma_2)$, and $X_n$ and $Y_n$ are independent, then we all ...
lmz's user avatar
  • 11
2 votes
2 answers
118 views

Lower bound on the $\Phi$-entropy of a Gaussian variable

I am trying to prove that for $X$ a centered Gaussian variable, $$\limsup_{n\in\mathbb{N}}\,\mathbb{E}\left[(X+n)^2\log\left(\frac{(X+n)^2}{1+n^2}\right)\right]=2.$$ I already know by the Gaussian ...
John Do's user avatar
  • 652
0 votes
1 answer
31 views

Lower bound on empirical Gaussian probablity

Consider $\{a_1,a_2,...,a_n\}$ n points in $\mathbb{R}$. Assume their mean is $0$, their standard deviation is then given by $\sigma=\sqrt{\dfrac{1}{n}\sum_ia_i^2}$. Let $p(x)=\dfrac{1}{\sqrt{2\pi}\...
Schach21's user avatar
  • 700
1 vote
1 answer
94 views

Probabilistic Bound on Random Walk with Drift

For Gaussian random variable $\xi_t$ with mean $\mu$ and standard deviation $\sigma$, consider the random walk with initial condition $P_0=100$, such that \begin{equation} P_t=P_{t-1}(1+\xi_t). \end{...
UNOwen's user avatar
  • 175
0 votes
0 answers
31 views

Maximum possible correlation for $N$ random variables sharing idential correlation coefficient

Let $X_1, X_2, \ldots, X_n$ be random variables. For every $i\ne j$, assume $corr(X_i,X_j)=\rho$, where $\rho$ is some constant. What is the maximum possible value of $\rho$?
mathemage's user avatar
  • 840
1 vote
2 answers
33 views

How to calculate the width of a variance

Short version I have a series of results that sit within clear upper and lower bounds relative to the starting value. I do not know how to find those bounds (and thus the width of the band). I would ...
Matthew Brown aka Lord Matt's user avatar
0 votes
0 answers
60 views

Asymptotic propagation of error

Let $\tilde{s}_n$ and $\tilde{p}_n$ be estimators of the quantities $s$ and $p$, respectively ($\mathbb{E}[\tilde{s}_n]=s$ and $\mathbb{E}[\tilde{p}_n]=p$). Imagine we have obtained asymptotic bounds ...
synack's user avatar
  • 984
1 vote
1 answer
47 views

Variance of sum of deviations

Suppose I have an i.i.d. sample $\{X_i\}_{i=1}^M$ for some positive integer $M$, and suppose that $X_i \sim X$ for some random variable $X$ with finite variance. Then, denote by $$ E_M = \frac1M\sum_{...
G. Gare's user avatar
  • 1,450
15 votes
1 answer
204 views

Show that $\mathbb{E}\left|\hat{f_n}-f \right| \leq \frac{2}{n^{1/3}}$ where $\hat{f_n}$ is a density estimator for $f$

Question Suppose we have a continuous probability density $f : \mathbb{R} \to [0,\infty)$ such that $\text{sup}_{x \in \mathbb{R}}(\left|f(x)\right| + \left|f'(x)\right|) \leq 1. \;$ Define the ...
yasinibrahim30's user avatar
1 vote
0 answers
20 views

Use the statistical process control method to find the indicated control limits.

Question : The table gives $10$ samples of three measurements, made during a production run. Use the statistical process control method to find the indicated control limits. Using $k_2=2.568$ and $...
Hayden Wilcox's user avatar
1 vote
0 answers
46 views

Generalization Bounds

Given the loss function $L(\hat{y},y)$ the generalization error is defined as $$R(h) = \underset{(x,y)\sim D}{\mathrm{E}}[L(h(x),y)]$$ the empirical error is defined as $$\hat R(h) = \frac{1}{m}\...
Swornim Baral's user avatar
1 vote
0 answers
52 views

Does logistic regression not fulfill an inequality required for Wilks' Theorem or am I missing something?

The required inequality: Wilks' Theorem is given in the source below as Theorem 12.4.2, p. 515. Before stating the inequality, some definitions are needed: Let $Z_1, \dots, Z_n$ be i.i.d. according to ...
MathStudent's user avatar

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