Questions tagged [symmetry]
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64
questions
1
vote
1answer
35 views
Which test(s) are alternative to Mann-Whitney test for non-parametric continues data when symmetry assumption is violated
From here and here I see that we cannot use Mann-Whitney test if symmetry assumption is violated. Which test(s) can we use instead of Mann-Whitney test for non-parametric continues data if symmetry ...
1
vote
0answers
13 views
Asymmetric robust regression
What are the methods for robust regression with asymmetric distribution of outliers?
I am specifically interested in equivalents of Huber and Tukey M-estimators. However, asymmetric heavy-tailed ...
1
vote
1answer
27 views
Help - Expectations and Ratios
I would need your help for a problem I have and I don't know how to solve.
I would like to know whether I could prove that :
$$E[0.5X/(0.5X+0.25)] = E[0.5(1-X)/(0.5(1-X)+0.25)]$$
knowing that $E[X] =...
0
votes
1answer
21 views
Error distributions and consistent and unbiased OLS
If OLS estimator is unbiased and consistent, what does it imply about the distribution of error terms?
In linear regression model:
$ y_i = \boldsymbol{x_i' \beta} + \epsilon_i $
if the OLS estimator ...
1
vote
1answer
18 views
Is there a signed (ie anti-symmetric) version of SMAPE?
The symmetric mean absolute percent error (SMAPE) is a symmetrized version of percent error with the formula:
$$\frac{200\%}{n}\sum_i\frac{|x_i - y_i|}{|x_i| + |y_i|}$$
SMAPE is symmetric: ...
2
votes
2answers
291 views
What is a symmetric distribution symmetric about if it has zero skewness? [duplicate]
We know that a distribution with zero Skewness are symmetric. A quick Google search or looking up in textbooks says that
Symmetric distributions are distributions where the left side mirrors the ...
0
votes
1answer
112 views
What would be the output distribution of ReLu(X) activation (In case that the distribution of X is unknown)?
Suppose E[X]=0, var(X)=1 and we know X has a symmetric distribution, What would be the distribution of 𝑌=ReLU(𝑋)=max{0,𝑋}?
I have seen this question What would be the output distribution of ReLu ...
0
votes
0answers
17 views
Wassertein “least squares” and symmetries
So here's a scenario: I have points $(\mu_1^j,\mu_2^j)$ and I associated them the following distribution $$\rho_j=1/2\delta_{\mu_1^j}+1/2\delta_{\mu_2^j}$$
These have symmetry (exchanging $\mu_1^j$ ...
0
votes
0answers
9 views
Symmetry vs asymmetry [duplicate]
If a collecƟon of numerical values X is roughly symmetric the value for the mean and median are about the same. However, if the mean and median are about the same value this does not necessarily mean ...
0
votes
0answers
24 views
Showing that if the PMF of $W$ is symmetric around zero then some parameters entering it are equivalent
Summary: In what follows, I specify the probability mass function (PMF) of a random variable $W$, depending on some parameters $(\lambda,\mu,\lambda',\mu')$. I would like your help to show that
$$
\...
0
votes
1answer
67 views
Definition of symmetric probability mass function [duplicate]
Consider the random variables $Y$ characterised by a probability mass function (PMF) as follows:
$$
Y=\begin{cases}
-2 & \text{ with probability $\frac{1}{2}$}\\
2 & \text{ with probability $\...
0
votes
0answers
27 views
Show that the intersection of two sets involving symmetric PMF is empty
Consider the stepwise cumulative distribution function
$$
\Delta(x; \lambda, \mu)=\sum_{j=1}^J \lambda_j 1\{x\geq \mu_j\} \hspace{1cm} \forall x \in \mathbb{R}
$$
where
$J<\infty$
$\lambda\equiv (\...
1
vote
1answer
30 views
Characterise the set of symmetric probability mass functions
Consider the stepwise cumulative distribution function
$$
\Delta(x; \lambda, \mu)=\sum_{j=1}^J \lambda_j 1\{x\geq \mu_j\} \hspace{1cm} \forall x \in \mathbb{R}
$$
where
$J<\infty$
$\lambda\equiv (\...
3
votes
1answer
146 views
Symmetry group in posterior distribution/inference
Here's a scenario: Suppose I collect a dataset $\{x_i\}_{i=1}^k\subseteq\mathbb R$ of data points $x_i$, and I wish to explain it using a mixture of two Gaussians; assume the unknown parameters are ...
4
votes
1answer
123 views
What can we say about distributions of random variables $X$ such that $X$ and its inverse $1/X$ have the same distribution?
What can we say about random variables such that it and its inverse have the same distribution? One example is Cauchy distributed random variables, easily proved via the fact that if $X, Y$ are IID ...
5
votes
2answers
221 views
Identically distributed vs P(X > Y) = P(Y > X)
I've two related propositions which seem correct intuitively, but I struggle to prove them properly.
Question 1
Prove or disprove: If $X$ and $Y$ are independent and have identical marginal ...
1
vote
1answer
60 views
When $(X_1-X_0, X_1-X_2)\sim (X_2-X_0, X_2-X_1)\sim(X_0-X_1, X_0-X_2)$?
Consider a bivariate probability distribution $P: \mathbb{R}^2\rightarrow [0,1]$. I have the following question:
Are there necessary and sufficient conditions on the CDF associated with $P$ (joint or ...
3
votes
0answers
89 views
From bivariate to trivariate probability distribution
Let $\mathcal{G}$ be the space of all possible bivariate probability distributions.
Let's pick a bivariate probability distribution $g\in \mathcal{G}$. Can we always find a random vector $(X,Y,Z)$ ...
2
votes
1answer
42 views
How to specify uniform distribution with same properties as normal distribution?
What I mean is, is it possible to specify a uniform random variable $U$ with random parameters $a,b$, where $a=-b$, and are generated from some other distribution, such that the marginal pdf of $U(a,b)...
4
votes
1answer
50 views
A symmetric iid process
Let $X_1, X_2, \ldots$ be an iid process with $X_i$ having a symmetric distribution around $0$. Then can I always write
$$X_1 - \alpha X_{t-1}-\alpha^2 X_{t-2}-\cdots \stackrel{iid}{=} X_1 + |\alpha| ...
2
votes
1answer
42 views
It what situation is a distribution known to be symmetric, but about an unknown location?
A favorite example in theoretical statistics is this:
A sample of individuals are drawn independently from a distribution with density $f(x)$, where $f(x)$ is unknown, but is known to be symmetric ...
0
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0answers
19 views
symmetric marginal but asymmetric joint distribution contours [duplicate]
Let us say we have two continuous random variables, $X$ and $Y$ such that their pdfs $f(x)= f(-x)$ and $g(y)= g(-y)$ for all $x$ and $y$. In other words, $X$ and $Y$ have symmetric distributions ...
1
vote
1answer
33 views
How to test for the symmetry of a finite sequence?
I have a finite sequence of real numbers ${\{a_n\}}_{n=0}^{N-1}$, for the sake of simplicity I assume $N\gt1$ is even.
The sequence is symmetric (I would say even like an even function) iff
$a_k=a_{...
2
votes
0answers
108 views
Testing for symmetric distributions
Suppose we have $n$ samples $s_1,...,s_n$ from an unknown real-valued distribution $D$. We are interested in a statistic to test if $D$ is symmetric around zero. (In my application, $n$ is only ...
0
votes
0answers
35 views
Categorical probability distribution that captures “some” permutation invariance / mirror symmetry
I'm fitting something similar to a naive Bayes model to a data set where each data point has six features, $A_1$, $B_1$, $C_1$, $A_2$, $B_2$ and $C_2$. $A_1$ and $A_2$ can both take values in {$a_{1}$,...
1
vote
1answer
40 views
How can I cluster data drawn from distributions with known symmetries?
Consider a set of data which is a mixture of samples drawn from different distributions. It is known from the underlying phenomena generating the mixture that for every distribution in the mixture ...
1
vote
1answer
614 views
Z distribution is symmetric. Chi square distribution is not symmetric. Why?
Z distribution is symmetric. Chi square distribution is not symmetric. Why?
3
votes
0answers
49 views
Comparison between variance of $|x|$ and $x$ for the symmetric distribution
For a symmetric distribution, how the following inequality holds which is given by my teacher:
$V(|X|)>V(X)$
What I think is that it should be opposite since for a symmetric distribution the mean ...
1
vote
0answers
29 views
The degree of nonparametric estimation kernels and induced $U$-statistics
The definition of kernels in nonparametric can be formulated as follows.
[Randles&Wolfe] pp.61-62. A parameter $\gamma$ is said to be estimable of degree $r$ for the family of distributions $\...
1
vote
0answers
31 views
Symmetry of circular distribution
I wanted to ask somebody for an opinion about one thing I found in the statistical book (Mardia, Jupp - Directional statistic).
They were defining circular symmetric distribution in following sense:
...
4
votes
1answer
239 views
linear regression, symmetry of model does not lead to symmetry of coefficients
Experiment: You are given a large population of real numbers. For simplicity take the whole numbers from -n to n. Take two independent random samples x and y of size k and sort them (each one ...
6
votes
2answers
509 views
$X$, $Y$ independent identically distributed. Are there counterexamples to symmetry of $X-Y$?
That $X-Y$ should be symmetrically distributed for iid $X,Y$ is obvious simply by interchanging the roles of $X$ and $Y$ -- informally we might argue
Let $Z=X-Y$ have distribution $F$. The roles of ...
asked Oct 14 '17 at 23:10
Glen_b -Reinstate Monica
231k25 gold badges468 silver badges818 bronze badges
1
vote
3answers
287 views
Symmetry of a ratio of two random variables
My question is whether the fact that two random variables, X and Y, are symmetrically distributed implies that their ratio, Z=X/Y, is symmetrically distributed too.
1
vote
1answer
21 views
Question related to symmetry in distances
My dataset represents products and evaluation of every product by users. E.g., I might have:
...
0
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2answers
45 views
Identity related to symmetric distribution
Let $F$ be a symmetric (around $\frac{1}{2}$) cumulative distribution whose support is $[0,1]$. So, $F(x)=1-F(1-x),\forall x\in[0,1]$. Would this identity hold for any such $F$?
$$\int^1_0(x-\frac{1}{...
-1
votes
1answer
25 views
Would there exist a symmetry around the mode in a truncated uni-modal distribution (which is differentiable)?
If we truncated around the mode of an asymmetric (continuous and differentiable) unimodal distribution, would there be a symmetry around the truncation point?
For example if X is generated from an ...
1
vote
0answers
185 views
How to calculate growth rates up and down from a local maxima?
Problem: I am currently doing my Msc-thesis on rodent population dynamics. One of my aims is look at symmetry in oscillation topography. For this I want to calculate the growth rates up and down from ...
0
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0answers
28 views
regarding symmetric distributions [duplicate]
i asked a similar question yesterday , i think my way was not proper ,i received vague and confusing answers, so i asked it again clearly specifying what i actually want to ask
This is what i found ...
0
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2answers
5k views
Definition of symmetric random variable [in terms of distribution function ] [duplicate]
This is what i know about symmetric distributions:
The distribution of rv (random variable) $X$ is symmetric about $a$ iff
$$
P ( X \le a - x ) = P ( X \ge a + x ) \qquad \forall x \in \mathbb{R}
$$...
7
votes
2answers
479 views
Prove that a distribution is symmetric using moments
Given, a random variable X whose mean , variance and fourth central moment are 0, 2 and 4 respectively. Now, how do I prove that
(1) third moment is 0
(2) distribute is symmetric about 0 and
(3) X ...
2
votes
0answers
52 views
Writing monomial symmetric functions in terms of population moments about the mean
Following Sukhatme (1954, pp.35 - 36) for a univariate case, I encountered the following population monomial 'symmetric' functions for a bivariate case: $\sum_{i=1}^{N}(X_i^2Y_i^2)$ $;$ $\sum_{i\neq j=...
1
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0answers
64 views
About symmetric distributions
Homework problem:
if $X$ and $Y$ are two independent random variables, where $Y$ is symmetric about 0, define $U = X + Y , V = X- Y$. Then say whether $U$ and $V$ have the same distribution or not.
...
0
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1answer
64 views
Generate multivariate symmetric distribution
I have a (bivariate) spherically symmetric distribution, in the sense that I can generate iid values distributed according to it. But there is a detail - I can't get the generated values as a whole, ...
1
vote
1answer
2k views
How to prove conditional independence symmetry $X\perp Y | Z$? [closed]
In probabilistic graphical modeling, conditional independence $X\perp Y | Z$ means $P(X,Y|Z)=P(X|Z)P(Y|Z)$.
How to prove it?
EDIT: this post might help your understanding
https://math.stackexchange....
6
votes
1answer
4k views
Why are mean and median not equal for asymmetric distributions?
My reasoning is as follows: the p.d.f. is divided by the mean (expected value) into two parts, for which the areas under the p.d.f. curve are equal, hence the probabilities that random variable takes ...
30
votes
4answers
7k views
Does mean=mode imply a symmetric distribution?
I know this question has been asked with the case mean=median, but I did not find anything related to mean=mode.
If the mode equals the mean, can I always conclude this is a symmetric distribution? ...
4
votes
1answer
631 views
How to prove the test statistic of the Wilcoxon signed rank test is symmetric about mean
How to prove the test statistic of the Wilcoxon signed rank test is symmetric about its mean?
I know that if I want to prove a distribution is symmetric, I need to show
$f(m-t)= f(m+t)$ but $W$ doesn'...
1
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0answers
125 views
Symmetry in supervised learning models
I am training a bunch of supervised models on a binary classification problem. My dataset is comprised of some positive examples (p) and their symmetric negative examples (n), i.e. rows created by ...
3
votes
1answer
676 views
How to understand boxplot skewness
I have a boxplot that is drawn and the whiskers are the same length but the median is closer to the upper quartile than the middle.
Would this be considered skewed or symmetrical?
4
votes
0answers
164 views
How can I test whether an empirical discrete distribution is symmetric?
For example, I have a distribution with mean = 55.46; med = 54.5; mode = 45. The Shapiro-Wilk is non significant, the data are unimodal, and there is no significant skew or kurtosis.
At a glance, the ...
