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Questions tagged [statistics]

Mathematical statistics is the study of statistics from a mathematical standpoint, using probability theory and other branches of mathematics such as linear algebra and analysis.

11,536 questions with no upvoted or accepted answers
58 votes
0 answers
2k views

Does the average primeness of natural numbers tend to zero?

Note 1: This questions requires some new definitions, namely "continuous primeness" which I have made. Everyone is welcome to improve the definition without altering the spirit of the question. Click ...
Nilotpal Sinha's user avatar
23 votes
1 answer
767 views

Kähler Geodesics

Consider the Kähler manifold in coordinates $(a,b)$ given by the complex Riemannian metric $$\begin{pmatrix} \frac{1}{1-|a|^2}&\frac{1}{1-a\bar{b}}\\\frac{1}{1-\bar{a}b}&\frac{1}{1-|b|^2}\end{...
Wintermute's user avatar
  • 3,838
13 votes
0 answers
256 views

Asymptotic behavior of recurrence $x_{n+1}=\mbox{Stdev}(x_1,\dots,x_n)$

Here $x_1>0$ is the initial condition and $x_{n+1}$ is defined by $$x_{n+1}=\Big[\frac{1}{n}\sum_{k=1}^n x_k^2 -\frac{1}{n^2}\Big(\sum_{k=1}^n x_k\Big)^2 \Big]^{1/2}. $$ Clearly, $x_n=\lambda_n \...
Vincent Granville's user avatar
13 votes
0 answers
1k views

Why is the partition function able to describe the whole system?

No matter what the real system or subject is, if there is a partition function $Z$, then these kind of identities hold $$\langle X\rangle=\frac{\partial}{\partial Y}\left(-\log Z(Y)\right).$$ If one ...
Nikolaj-K's user avatar
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12 votes
0 answers
9k views

Rigorous Proof of Slutsky's Theorem

I was hoping to type up my proof of Slutsky's Theorem and get confirmation on the excruciating details being all correct... Statement of Slutsky's Theorem: $$\text{Let }X_n, \ X,\ Y_n,\ Y,\text{ share ...
OGV's user avatar
  • 541
12 votes
0 answers
246 views

Looking for references related to an inequality in order statistics

I was reading the paper "on the minimum of several random variables". In example 10 item (ii) it states: Let $1\leq k\leq n$. Let $g_i,i\leq n$, be independent $N(0,1)$ Gaussian random variables. ...
Frank Lu's user avatar
  • 7,050
11 votes
0 answers
356 views

Random walks in $\mathbb{Z}^2$

Consider a random walk on the integer lattice in the plane. If a “particle” making a random walk arrives at a lattice point $p = (k_1,k_2)$ at the time $t$, then one of the four neighbors $(k_1±1, k_2 ...
amir's user avatar
  • 1,341
11 votes
0 answers
352 views

Donsker's Theorem for triangular arrays

Assume we have a sequence of smooth i.i.d. random variables $(X_i)_{i=1}^{\infty}$. Given $\alpha>0$, does some sort of Donsker's Theorem hold for $\left(\frac{X_i}{n^{\alpha}}\right)_{i=1}^n$? ...
Indigo's user avatar
  • 554
11 votes
0 answers
1k views

Idempotence and the Rao–Blackwell theorem

Original question: In the Wikipedia article on the Rao–Blackwell theorem, we read: In case the sufficient statistic is also a complete statistic, i.e., one which "admits no unbiased ...
Michael Hardy's user avatar
10 votes
1 answer
298 views

Estimating Parameter - What is the qualitative difference between MLE fitting and Least Squares CDF fitting?

Given a parametric pdf $f(x;\lambda)$ and a set of data $\{ x_k \}_{k=1}^n$, here are two ways of formulating a problem of selecting an optimal parameter vector $\lambda^*$ to fit to the data. The ...
Ian's user avatar
  • 102k
10 votes
0 answers
814 views

What is the variance of self-information (or surprisal)?

The self-information of an outcome $x_i$, or surprisal, is defined as: $$ I(x_i)=-\log P(x_i), $$ where $P$ means probability. This way, the Shannon entropy can be seen as the "average" or "expected" ...
geodude's user avatar
  • 8,107
10 votes
0 answers
7k views

Exponential distribution unbiased estimator

Let $$X_1, \ldots, X_n \overset{iid}{\sim} Exp(\lambda), \quad \lambda > 0$$ The Maximum-Likelihood-Estimator is given by $$\widehat{\lambda} = \frac{1}{\frac{1}{n}\sum_{i=1}^{n}{X_i}} = \frac{n}{\...
georgmierau's user avatar
10 votes
0 answers
877 views

the parametrization of a Gumbel in terms of a Gaussian

Extreme Value Distribution From a Gaussian. I was wondering how the parametrization of $\alpha$ and $\beta$ of a Gumbel $e^{-e^{-\frac{x-\alpha }{\beta }}}$ was done in terms of a cumulative Gaussian $...
Nero's user avatar
  • 3,769
9 votes
0 answers
169 views

Covering number/Metric Entropy of the unit ball with respect to Mahalanobis distance

Let $B$ denote the unit ball on $\mathbb{R}^d$ and $N(\epsilon, B, d)$ be the cardinality of the smallest $\epsilon$-cover of $B$. An epsilon cover is a set $T \subset B$ such that for any $x \in B$, ...
WeakLearner's user avatar
  • 6,096
9 votes
0 answers
200 views

Distributions with 'Gaussian Tails'

In a paper I was reading, the following seemingly artificial assumption is used: suppose $f$ is some probability density function on $\mathbb{R}^d$, and let $\phi$ denote the density of a $N(0,I_d)$ ...
WeakLearner's user avatar
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