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

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1answer
110 views

quadratic relationship

Detection of linear relationship is possible with correlation coefficient. If absolute value of correlation coefficient is 1, then the relationship is linear. Is there any way for detecting quadratic ...
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1answer
206 views

Linear vs non-linear Correlation

How do i check that two random variables satisfy the requirements for computing correlation via Pearson or Spearman? If the data is non-linear/ non-Monotonic, are there other tests i could use to ...
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1answer
45 views

Long time scale correlation

I have some EXTREMELY noisy data (standard deviation a is greater than the mean), but plotting it with a 15 data point running average does well to get a visual indication of the trending. I want to ...
1
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1answer
326 views

Correlation between Beta distributions

I have a Computer Science background and not very knowledgeable in Probability and Statistics. So excuse me if my question,notation, or language is flawed. Anyways, the problems is that we have two ...
0
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1answer
90 views

Covariance and Correlation

Suppose there were m married couples, but d of these 2m people have died. Regard the d deaths as striking the 2m people at random. Let X be the number of surviving couples. Find: a) E(X) b) Var(X) ...
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1answer
19 views

What values to choose for correlation?

To work out correlation I'm using the online calculator : http://easycalculation.com/statistics/correlation.php ...
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1answer
43 views

Is the relation of having positive covariance well behaved with respect to taking the inverse?

Let $X$ and $Y$ be two random variables, $X$ strictly positive. Assume that Cov$(X,Y)>0$. Does this imply that Cov$(1/X, Y)<0$? I know that being positively correlated is not a transitive ...
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1answer
27 views

Normal distribution $\rho_{X,Y} = 0 \rightarrow X \bot Y$

Assume $X \sim \mathcal N(\mu_1, \sigma_1^2)$ and $Y \sim \mathcal N(\mu_2, \sigma_2^2)$. If $\rho_{X,Y} = 0$ then $X \bot Y$. Can someone give a hint why this is true ?
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1answer
40 views

Relationship between Correlation and Bayes Theorem

Is there some relationship between the correlation of two random variables, and Bayes Theorem? A bit of background intuition, if W = random variable denoting number of women in a room, and L = ...
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39 views

PCA vs Correlation

What is the relationship between (first) principal component(s) and the correlation matrix or the average correlation of the data. For example, in an empirical application I observe that the average ...
3
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0answers
100 views

How to perform nonlinear regression with correlated errors?

I have a nonlinear least squares problem, but the errors are correlated. I could use R's nls function to do the regression if the errors were independent, but I don't know the right way to handle ...
2
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0answers
16 views

Finding the empirical correlation from a covariance matrix

I have this covariance matrix with five variables $X_1$ through $X_5$ in that order. ...
2
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0answers
49 views

Correlation between an event and a time series

I have a time series, e.g. the daily number of visitors on my blog. I have a set of events of some class, like the days when I made a new posting. I want to measure the effect of a new posting on the ...
2
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0answers
103 views

Correlated diffusion processes and covariance matrix

I'm really noob in maths topics so I hope you will excuse me if I use terms which aren't correct. I would like to simulate $n$ dimensional diffusion processes with $n$ noises. Each process has its ...
2
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0answers
167 views

Geometric interpretation of element by element division of one vector by another

This is my first post here, and I'm not a mathematician, so please go easy on me :) In statistics there is a geometric interpretation of correlation that uses basic vector geometry. This is fairly ...
2
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0answers
524 views

Correlation and Regression Question

Two separate tests are designed to measure a students ability to solve problems. Several students are randomly selected to take both tests and the results are: $$ \begin{matrix} \text{Test A}(x) ...
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0answers
13 views

Dimension free Concentration bounds for Martingales

Consider the following random process which is defined on $n$ numbers $0\leq x_1,\ldots,x_n\leq 1$: At each step, pick an arbitrary number, say $x_i$. Then randomly (and independently) change its ...
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0answers
28 views

Sorting Vectors based on their correlation

This problem [question]: Sort vectors according to their distance between them is about sorting vectors based on the distance between them. What about sorting vectors based on the correlation ...
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0answers
18 views

Estimating the likelihood of independence of two discrete variables using the co-occurrence count matrix.

I have some data about users from different regions visiting different directories of some website. Aggregating that data I get the co-occurrence frequency matrix (for regions and directories). Now I ...
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0answers
43 views

Pearson correlation and metric properties

Assuming that the data set was $z$-standardized to zero mean and unit variance (also assuming that it does not contain constant vectors). Then Pearson's r reduces to Covariance: $$\rho(X,Y) := ...
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75 views

Cross-Correlation (and finding Correlation error ) of two digital sequences.

In a IEEE paper, I saw a formula for WUInt(ti+1) as , Reference : ...
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0answers
59 views

Compute significance of Kendall tau-b?

I have so-far tried all ways of computing kendall tau significance (where there are ties) described here. However, none of them works good, even for relatively large vectors. I think the problem is ...
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0answers
89 views

Windowed Linear Correlation

$\DeclareMathOperator \Cov {Cov}$ $\DeclareMathOperator \Var {Var}$ $\DeclareMathOperator \E {E}$ Consider the following experiment: For $N\geq1$, consider $N$ black balls. Let us paint each black ...
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21 views

Dynamic Light Scattering

In DLS does the combination of the Time Average and Ensemble Average give a better statistical average than the results shown by each case considered separately ?
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113 views

Cross Correlation

The cross-correlation function is defined as follows if $\bar{f}$ is the complex conjugate of $f$ and we assume that $f$ is real, such that $\bar{f} = f$. $$ \begin{align} f \star g &= ...
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0answers
36 views

Sampling a distribution with restrictions: eliminating the correlation between two variables

I have a collection of 400.000+ word-pairs. Each word-pair has an association strength, which is a measure of how related the two words are to each other (as in cow-milk). Each word-pair also has a ...
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0answers
91 views

Correlated Random Numbers Between A Range

I am trying to generate random numbers within a range say 57 to 107 which are correlated by a factor of 0.8. The numbers are for illustration simplicity only.
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0answers
16 views

Calculate the tendency of a set of samples

I develop an application in which I constantly get samples of heart pulse. I defined an interval of $t$ seconds. In each $t$ seconds I have $n$ samples. In every interval, I want to calculate the ...
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0answers
16 views

Correlation question

I hope someone can help me with this: Let $c(\rho)=\lim_{n\rightarrow\infty}n^{\alpha-1}\sum_{k=-(n-1)}^{n-1}\left[1-\frac{k}{n}\rho(k)\right]$ where $n=1,2,3,\ldots$, $\alpha\in(0,1)$ and $\rho$ is ...
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0answers
39 views

Invariance of the correlation coefficient under linear transformations

Show that for arbitrary random variables X and Y, and constants a ,b ,c ,d with a and c nonzero, Corr(a*X+b, c*Y+d) = Corr(X,Y) if a and c have the same sign = -Corr(X,Y) if a and c have opposite ...
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0answers
19 views

Correlation coefficient, ACF,

In my book it says $\rho_x(h) = \frac{\gamma_x(h)}{\gamma_x(0)}$, which is the definition of ACF, and $\gamma_x(\cdot)$ is the autocovariance. It then should follow (under conditions of weak ...
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0answers
54 views

What do angle brackets ($\langle\rangle$ ) mean in mathematics/statistics (autocorrelations)?

Okay, so the logarithmic return on a stock is given by: $$r_τ (t) = \ln P(t+τ) - \ln P(t),$$ where τ is the interval of time. I have no problem calculating that. My question comes to the following ...
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25 views

Probability Density Function and Eigenvalue Spectrum of Correlation Matrix

My question is in the link... http://www.flickr.com/photos/88684900@N03/8654322505/in/photostream
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53 views

Sum of correlated conditional variables

I have a normal random variable X with mean $\mu_x$ and variance $\sigma_x^2$. I take readings from only X every day (these observations are independent). I have another normal random variable Y ...
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33 views

Is the correlation function convex or not?

Suppose the function for statistical correlation is a non linear constraint in a non linear programming model: $$ \frac{\sum_{t=1}^T (p_t - \bar{p})(R_t - \bar{R})}{\sqrt{\sum_{t=1}^T (p_t - ...
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20 views

Iterative Computation of Correlation Coefficient

Given a set of $k$ data points $A$, I have the correlation coefficient between them as $\rho_A$. Now I want to iterate over a new set of data points $B$ (say $j$ of them) and wish to iteratively ...
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0answers
28 views

how to compare correlation between random variables?

Suppose I have a random variable, S(k) for starting date of callable bonds, M(k) for the maturity date of the bonds, and C(k) for the called date of the bonds. $$S(k) < C(k) < M(k)$$ C(k) is ...
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0answers
33 views

Correlation Coefficient dealing with discretely distributed variables

I'm a bit stuck on this practice problem I have for my HS business stats class. I'd appreciate any help to get the solutions. Thank you. Exercise #22: Let X and Y be discretely distributed random ...
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0answers
96 views

Autocorrelation derivation using fourier transform

I am stuck with basic understanding of the Auto-correlation derivation of a simple signal and I would be pleased if you could help me out with that. Lets have a signal $x(t)=\cos(2\pi{f_{0}}{t})$. ...
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0answers
51 views

How to find function coefficients

I'm not an expert in math but I need to solve the following task: I have several functions: $$ f(t)=k_1 f_1(t)+k_2 f_2(t)+k_3 f_3(t)+ \dotsc +k_n f_n(t) $$ Also I know all the functions' values: ...
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0answers
50 views

Min and Max Correlation values

i want to know whats is the max value that the correlation rho can take : $\mbox{Rho}(u_1,u_2) = \mbox{Cov}(u_1,u_2)/(\sigma_1*\sigma_2)$ where $u_1$ is a uniform random Variable and $u_2$ is an ...
0
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0answers
57 views

Is shift-invariant property of (auto) correlation function so important?

I was just wondering if the shift-invariant property of autocorrelation function is important. No matter random process is wide sense stationary or not, can we overlook the shift-invariance of ...
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0answers
204 views

jointly stationary random process

If two wide-sense stationary processes $X(t)$ and $Y(t)$ are uncorrelated, then the cross correlation is $R_{XY}(t_1,t_2) = E\{X(t_1)Y(t_2)\} = E\{X(t_1)\}E\{Y(t_2)\}$, which will be a constant, ...
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0answers
47 views

Determining how much closer a sequence is to another series?

I am supposed to make a game in which a range of numbers starting from 1 are scattered across the screen and the player has to click them in series. Somewhat like this but much less range, You have ...
0
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0answers
144 views

Combine dependent variables into index that best matches independent variable?

I'm an undergrad working in a geochemistry lab for the summer. My job requires a good amount of statistical analysis, something that I'm not very familiar with. I'm looking for an way to blindly ...
0
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0answers
51 views

Controlling auto-correlated 1D Brownian motion

I have 1D Brownian motion process $x(t)$, and ability to control it. The control allows to shift the $x$ by $D$ at any time. I need the controlled process to be zero-mean, and to use the control ...
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0answers
27 views

Fast approximate construction of orthogonal system

Assuming I have $d+1\in\mathbb{R}^d$ points that are not unfortunately chosen (in which case I can just resample, correct me if I $d$ points are enough), then these should span the whole space. What ...
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0answers
172 views

How to find a correlation and whether it is statistically significant

I have 2 columns with numers in them, x and y. I'd like to find out what y could be if x = n and how strong the correlation is, if it's statistically significant or not. How do I do that? Pretty ...
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0answers
554 views

Pseudo-random binary sequence generated by shift register

Binary sequence generated by shift register with feedback have periodic properties. A simple 4-bit shift register shown in Fig (a). For the initial condition shown, it can be verified that the ...
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0answers
39 views

Finding out whether or not two graphs are “close”, given 20 points on each graph whose Xs do not match

Let's assume we have two graphs where: Each graph has 600 points per minute. We're allowed to get only one point per minute. We do not get the same point per minute in both graphs. So for example, ...

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