For questions about correlation of two random variables. Use it with [tag: random-variables] and [tag: probability].

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Conditional Probability Distribution for two Discrete Uniform Random Variables with given Correlation Coefficient

I consider a problem with two random variables $X, Y \sim Unif\{a,b\}$, for which I want to set a correlation coefficient $Corr(X,Y)=\rho$. Now, I am interested in the conditional probability mass ...
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1answer
92 views

Cross Power Spectral Density from Individual Power Spectral Densities

Let $X$ and $Y$ be two zero-mean, wide-sense stationary random processes. The power spectral density of a process is the Fourier transform of the process's auto-correlation function. The cross power ...
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50 views

Probability of three events occurring given correlation?

I am facing a problem that I cannot find the answer to. I have three variables, A, B and C. There are only two possibilities for each of these, A either happens or it does not, B happens or it does ...
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0answers
41 views

Correlation Matrix using Matrix Algebra, not the Same as Result from Excel

I am attempting to verify a calculation found at another question on this site. The formula is said to provide a correlation matrix using q = D-1ED-1 where q is the correlation matrix; E is the ...
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33 views

correlation between $\sum_{i=1}^{98}X_i$ and $\sum_{i=3}^{100}X_i$

Let $X_1,...,X_{100}$ be iid $N(0,1)$ random variables. The correlation between $\sum\limits_{i=1}^{98}X_i$ and $\sum\limits_{i=3}^{100}X_i$ is equal to (A) $0$ (B) $\dfrac{96}{98}$ (C) ...
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0answers
25 views

How to find covariance of sample mean and sample standard deviation

I have a question to find the covariance of sample mean and sample standard deviation based on the following: I have tried something on my scratch paper, but for some reason, I cannot upload on ...
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42 views

Covariance and correlation of summations of independent random variables

This is the problem: There are 2n − 1 independent random variables X1, 𝑋2, ... , 𝑋2𝑛−1. The expectation E(Xi) is μ for all i = 1,...,2n−1. The variance Var(Xi) is σ2 for all i = 1,...,2n−1. Let ...
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1answer
45 views

Linear Regression and finding Correlation Coefficient

In a Simple Linear Regression $y= \alpha + \beta x + \epsilon $, we gather this information: $S_y=20, S_x=5, \widehat{\beta} = 0.2 $ how I could find Instance Correlation Coefficient between x and ...
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58 views

Covariance matrix using squared exponential function

I'm writing down the covariance matrix $K$ of a vector X using squared exponential covariance function, and then evaluating the determinant of the matrix $K$. Let's say i add a new point to $X$ , and ...
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0answers
7 views

given means and deviation find the correlation

I have some problems in effect size calculation for meta analysis. I want to use the difference between mean gain scores and standard deviation of gain score as the effect size. I need to calculate ...
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0answers
13 views

Find normal random variables from independent standard normal variables with correlation matrix

I'm trying to find three independent standard normal variables from three normal random variables using a correlation matrix. So far, I have decomposed the problem using the matrix's cholesky ...
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0answers
12 views

(bounds on) mean of correlation matrix

Let $C\in\mathbb{R}^{p\times p}$ be a correlation matrix, that is a positive (and thus symmetric) definite matrix with main diagonal elements equal to $1$ and off-diagonal entries in the interval ...
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0answers
13 views

Augmenting a matrix with a highly-incorrelated column

Consider a binary matrix: $$\begin{pmatrix} 1 & -1 & 1 \\ -1 & 1 &1 \\ \vdots & \vdots &\vdots \\ 1 & 1 & -1\end{pmatrix}$$ with a random distribution of 1 and -1 ...
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1answer
24 views

Given f(x) and two correlated random variables x & y, how do I estimate the correlation of f(x) & f(y)

I have a smooth continuous well-behaved function f(x), where f(x) is positive and mononically increasing with x, and x is positive real continuous variable. Given the mean, variance, and correlation ...
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75 views

Estimating Percentile Ranks - Correlation

I'm going to type out the question, run the answers I've gotten so far by you, and then ask about what I'm having issues with. Question: In a large statistics class the correlation between midterm ...
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0answers
10 views

Convergence under rank correlation

I have a following setup: Let $c\in{\Bbb R}$, $R^2\in [0,1]$ and $\Psi,\varepsilon_1,\varepsilon_2,\ldots$ independent random variables on a probability space $(\Omega,{\cal A},{\Bbb P})$. Define the ...
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23 views

Error of 2 correlated variables, proxied as random variables

Disclaimer: my 1st question in math.stackexchange (usually in stackoverflow !), and non-English speaker. I'm trying to solve this problem for an arbitrary no. of variables, with multiple categories ...
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1answer
34 views

increment of Brownian motion squared [closed]

$(W_t)_{t \geq 0}$ is Brownian motion, assume t>s, does $E[(W_t-W_s)^2W_s^2]=(t-s)s$ ? In other words, are $(W_t-W_s)^2$ and $W_s^2$ independent?
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13 views

Why is pure sample covariance a bad metric to understand the degree of correlation between two variables?

Covariance helps you understand how variables are linearly related. Would it be possible to have two pairs of variables in a deterministic relationship (i.e. linearly correlated variables) that have ...
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32 views

Two forms of cross-correlation

Wikipedia and MATLAB defines cross-correlation in this way. In time series analysis (P21), it defines cross-correlation upon cross-covariance: Let $\{X_t\}$ and $\{Y_t\}$ be two time series, ...
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16 views

Correlation to a Curve

If I have a problem with data correlation. I have a quadratic $x$/$y$ model that is representative of a process, could I use it to find an equivalent value of $y$ at a given $x$ if I have an $x$ and ...
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9 views

An algebraic relationship between inverses of the correlation and covariance matrices

Suppose that we have $p$ random variables $(x_1,\ldots,x_p)$. Stack them together as $x=(x_1,\ldots,x_p)'$ and let $V$ be the covariance matrix of $x$ and $R$ the correlation matrix. Suppose that $V$ ...
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1answer
51 views

Don't understand dirac delta function for white noise?

Say we have stochastic differential equation $\frac{dx}{dt} = n(t)$ where $n(t)$ is a noise process. $n(t)$ has a correlation function $R(t - t') = <n(t)n(t')>$ If the noise process is white ...
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1answer
68 views

Simulate correlated $\chi^2$ distribution

I understand that when one have multiple independent variable that follows $N\sim(0,1)$, denoted as $A$ if we have a correlation matrix $R$, we can generate correlated variables $B$ that are normally ...
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3answers
77 views

Correlation of uniform variables

Let $X$ and $Y$ be independent random variables, $X,Y \sim unif(0,1)$. Let $U = \min \{X,Y\}$ and $V = \max\{X,Y\}$. Find the correlation coefficient of $U$ and $V$. I think we can assume that $U = ...
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33 views

How can I get a Covariance Matrix from Mean and Variance?

this may be a very basic question. I have the mean and variance for 12 lognormal distributions: ...
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37 views

How to calculate correlation between discrete data points?

I understand there are numerous correlation algorithms, but I wanted some more suggestions on what to use. Here is my situation: I have one list of discrete data points, that I'll call "ideal" case ...
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1answer
25 views

Relation between Regularization and correlation

I was going through Chapter 3 (page 63 bottom) of Elements of Statistical Learning. While explaining regularization in ridge regression authors make the following statements. "When there are many ...
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19 views

Coefficient of variation vs Pearson's rho

If you get the same outcome in case of Pearson's rho when comparing interval/ratio statistics, but the intervals/ratios are different, is it possible to use the coëfficiënt of variation to say more ...
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27 views

centering two variables X and Z makes cov (X,XZ) = 0

I've read that centering two normal (or symmetrical) variables $X$ and $Z$ affects correlation of centered $X$ with interaction term $X\cdot Z$ in such way, that this correlation $cor(X-EX, X\cdot Z)$ ...
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81 views

How to describe the correlation between two non-random variable mathematically?

As we all know, correlation is a statistical relationship between two random variables. However, if there are two non-random variables, is there correlation between them, if it has, how to describe it ...
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18 views

A stochastic process is generated as follows: we assign the value 1 to a head and the value 0 to a tail. Start at n=0, Compute Rxx(0,0) and Rxx(2,3)

I am kind of confused here, since autocorrelation describes the correlation between values of the process at different times, but for the first case, it is at the same time. I got that ...
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2answers
50 views

Correlation between two variables

Assume $X_1$, $X_2$, $X_3$,..., $X_n$ are i.i.d, say that $Y_1$ = $X_1^2/\sum_i X_i^2$ and $Y_2$ = $X_2^2/\sum_i X_i^2$, how to calculate the correlation between $Y_1$ and $Y_2$ or prove that they are ...
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1answer
19 views

Correlated explanatory variables in linear regression

Is it any reason to assume that if two strongly correlated explanatory variables have impact on response that regression coefficients for these variables have the same signs ? Could such assumption be ...
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1answer
27 views

Interpreting high p value and low correlation value

I am trying to run regression on financial data in R. I am new to regression analysis so I am finding it to difficult to interpret certain scenarios. I have the code as follows: Regression analysis ...
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1answer
19 views

Formula for the correlation between two different variables

"Jon planted a plant. When the plant grew to 4 centimeters of height he decided to start to measure how much the plant grew each week. Here's the result Week 0: 4 cm. Week 1: 6 cm. Week 2: 10 cm. ...
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53 views

Comparing two vectors based on order and ranking?

What I want to do is compare the ordering of variables determined by the ranking of each variable. For example: Say, I have a rating system that is made up of 5 different ratings - Excellent Good ...
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1answer
41 views

Relation between Correlation and Convolution

We have two functions of time $f(t)$ and $g(t)$, for which convolution and correlation are defined as following: Convolution: $(f(t)\ast g(t))(\tau) = \int_{-\infty}^\infty{f(t)g(\tau-t)dt}$ ...
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43 views

Random Matrix Theory Noise

Hello and Merry (past) Christmas! I am new to random matrix theory, was reading an article about how to improve a correlation matrix (for portfolio optimization). And everywhere i see this "noise ...
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2answers
85 views

Why is the maximum value of cross-correlation achieved at similar section?

I'm a bit confused and probably need some sleep. When trying to find a short signal inside a long one (or the delay), it's almost a trivial fact that we should look for the maximal valued coefficient ...
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24 views

Correlation of variables sets

There are a number of entities. Each entity is represented as three sets of numbers. Each set consists of the same number of parameters and describes behaviour of the entity in the specific ...
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22 views

Multiple variables correlation

There are a number of entities. Each entity has three sets of parameters. Each set of parameters describes entity behaviour in a specific system. The problem is to find mathematical method that would ...
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0answers
56 views

Partial Correlation Coefficient

I have the following questions on computing the correlation coefficient. Let us say we have two discrete random variables $X_1$ and $X_2$, where $X_1$ has $n_1$ outcomes and $X_2$ has $n_2$ ...
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1answer
48 views

We have an urn with 5 blue balls and 15 red balls.

We remove 7 without replacement. Let R be the number of red balls removed and B the number of blue balls removed. Do you expect R and B to be positively correlated, negatively correlated, or ...
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1answer
44 views

Given an unfilled pmf, How to compute the Correlation coefficient?

This is the format in which I was given the PMF. Given this pmf $$\begin{array}{lll} x&y&f_{xy}(x,y)\\ \hline 1&1&.25\\ 1&2&.25\\ 2&1&.25\\ 0&0&.25 ...
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1answer
30 views

Can I sum variances to a compound variance?

Say I have three locations A,B,C and I have a person going from A to B and measure the time it takes. Same for B to C. Let the variance of the time it takes for the path AB be a and for BC b. Is it ...
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1answer
41 views

Approximate as Independent Identically distributed

If $N$ random variables are identically distributed but weakly correlated, in what condition we can approximate them as independent identically distributed (iid) ? I saw an old paper where based on ...
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1answer
86 views

The autocorrelation function - the result in the form of a vector.

I've implemented the autocorrelation function in Python according to the normalized autocovariance function for discrete signals, i.e: ...
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2answers
112 views

The product of a normal and Bernoulli variables, independent from each other

Let $X\sim N(0,1)$ and let $Z$ be a random variable independent of $X$ such that: \begin{equation} \Pr(Z=z) = \begin{cases} \frac{1}{2} & \mbox{if $z = -1$ or $z=1$}, \\ \\ 0 & ...
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70 views

different way to compute power spectral density

I am writting a piece of code to compute power spectral density (psd) of a signal and wanted to compare two approaches : compute the FFT of the signal and square its amplitude compute the biased ...