A measure of correlation between different time series, at the same or different times.

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30 views

Uncertainty of average due to correlation between auto-correlated time series

I want to calculate the average value of $n_i$ time series each of length $n_t$, i.e. an average of $n_i \times n_t$ values, together with a measure of uncertainty. To be more concrete, I have ...
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27 views

Cross- correlation between two non-stationary time series

I have two time series that are growing together. I want to measure if these series are growing similarly together with some lag. Originally, I was thinking I would just take the cross-correlation ...
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1answer
25 views

Event data correlation

I have two sets of data from two different types of sensor. For each instance a sensors output exceeds a threshold the amplitude and time is it is logged as an event. Thus each event consists of a ...
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28 views

cross correlation of partially correlated signals

I measure $x(t)$ and $y(t)$, two stationary random signals, and I want to find out if, and how much, they are correlated. What I'm doing is to plot the cross correlation ...
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38 views

C++ Pattern Matching with FFT cross-correlation (Images) [closed]

Hello everyone I am trying to implement patter matching with FFT (cross-correlation) (I am using this https://www.cs.uaf.edu/2007/spring/cs481/lecture/03_29_fft_image.html as reference) The idea of my ...
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1answer
38 views

Do we need to detrend when do Cross-Correlation between two time series?

I have a group of time series variables and I want to found out the relationship among them. The method I use is to calculate pair-wise correlation between two time series and found out those with ...
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1answer
79 views

What algorithm can I use to find correlations between events?

I am new to machine learning so I am trying to find some literature but I'm not even sure what to Google for. My data is of the following form: ...
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8 views

Event Study Market Model Index Selection

my sample firms are 7 banks of which four are european banks and three american banks. When using the market model in an event study what would be an optimal market index? Also, is it better to use ...
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0answers
31 views

cross correlation using fft giving unexpexted results

I tried posting this question last week, but since it wasn't answered I decided to rewrite the question with a simpler, more direct format. I am using r to compute the cross correlation between two ...
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33 views

Does possible autocorrelation in data affect simple correlations?

I have a question concerning autocorrelation in data affecting correlation coefficients. Consider a time series of stock returns (e.g. 10 trading days) of different stock markets (A, B, C and D) and I ...
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1answer
56 views

Help needed with correlating two datasets

First cross-validated question so please be gentle :o) I have two datasets all gathered and managed in 'R'... Dataset 1 - News Corpus. Contains 3,270 entries from the period 1/Apr/13 to 31/Mar/14. ...
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14 views

CCF time lag in minutes in R

I have data sampled every 5m and I want to estimate the ccf between them, in order to do it I prewhiten the time series x and y and then I apply CCF But lags are not direct related with my sampling ...
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1answer
55 views

How to calculate the cross correlation between two time series measured at different instants?

I have two time series with measurements of the same type but different stations. I would like to know if the two series are correlated and how much is the "lag" between them. The idea is that in this ...
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13 views

Suggestion about: Image based position estimation with cross correlation

I have a image processing project.the process steps are: Take two image from google maps with longitude and latitude Calculate distance between two images from longitude and latitude with haversine ...
2
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1answer
37 views

Calculate correlation between events and signals in time series

I have a time series signal (continuous values) and some events occurring. An event for me is characterized by the fact that it only has a single timestamp assigned to it and not a timespan. Is there ...
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0answers
46 views

Calculate cross correlation between two time series when translating one along the time

When calculating cross correlation coefficient between two time series A and B, both being in their time windows of finite lengths, I translate one time series, say B, along the time by each lag, and ...
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0answers
45 views

Correlating two time series with delay and non-periodic sampling times

I am trying to analyze some data using Matlab. There are two datasets sampled by different sources over time (no fixed sampling frequency). After reading the data I perform a linear interpolation of ...
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0answers
26 views

Analysing the correlation between two trends

I've got 2 growing trends. One is the input (the number of published articles on a website) and I want to understand if the other appears to be correlated (the number of daily visitors). The problem ...
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1answer
108 views

Code for detrended cross-correlation in R

I want to code for Detrended Cross Correlation in R for time-series data but I'm still stuck. I don't know why the coefficient is not in range -1 : 1. I try to write following these equation below ...
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18 views

Cross spectrum problem

I'm looking for some advice to find the cross-spectrum for this system. $$ y_t= r_t+\epsilon_t$$ $$ r_t=\frac{\theta}{1-\psi z^{-1}}u_t $$ and the input is $$u_t=(1-\gamma z^{-1})w_t $$ ...
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28 views

What are good values for autocorrelation, Gelman, and cross-correlation in rjags?

I don't want to post my whole code since it is long, so I will only post part of it: ...
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1answer
89 views

R Own Implementation of Cross Correlation using Convolution

I try to implement my own cross correlation function in R by translating it as a convolution problem. Part I: So I have two arrays, e.g. two identical arrays, and I want to get the cross correlation ...
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1answer
48 views

How can I estimate the delay between two non-periodic time series?

I'm wondering what the best way to estimate the delay and confidence between two non-periodic time series would be. Specifically, I thought it would be interesting to look at the different economic ...
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0answers
46 views

Why and when stationarity is achieved by decomposition rather than differencing in ARIMA model

I would like to understand relationships between variables by which cross-correlation function, that means what is the extent one variable influence the other one. ARMA model is used to fit two ...
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2answers
122 views

Coefficient for a zero lag cross-correlation different from Pearson correlation r

Reading around I understood that using a cross correlation with lag zero should give the same results of a normal pearson correlation. It happens that this is not the case for me. What could be the ...
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15 views

What is the expected Normalized Cross Correlation of one noise signal with another?

I'm attempting to make amendments to a machine vision program that makes use of Normalized Cross Correlation (e.g. as defined at https://siddhantahuja.wordpress.com/tag/normalized-cross-correlation/) ...
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1answer
196 views

Feature selection for time series data

I am looking for methods for feature selection (or feature extraction) for time series data. Of course I did some research before, but it was not satisfying. I am aware of methods like PCA, ...
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Correction of data using a correlation

Suppose I have measured the outcome variable A using a (psychophysical) test that determines the ability of a subject to discriminate between two stimuli with a certain difference (the variable X). It ...
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0answers
48 views

how to specify range of lag in prewhiten CCF using package TSA in R

I am doing time series regression using package TSA in R. I have 2 time series, say x and y, so I started by doing prewhitened CCF. So, 2 issues I have encountered and would really appreciate if any ...
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3answers
125 views

Random variables have non-zero covariance but expected sample covariance is zero? (intuition)

This post asks "why a familiar and widely used estimator of sample covariance has expected value zero, in a situation where the variables involved are characterized by non-zero and equal pair-wise ...
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0answers
22 views

What normalization factor to use in Inverse Discrete Fourier Transform of Cross-Spectrum?

I have applied the Lomb-Scargle approach to estimating the cross-spectrum of two irregularly sampled time series and I am trying to obtain their cross-correlation by applying the inverse Discrete ...
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29 views

similarities between two signal using correlation

let say we have two signal ,there is given their time domain plots and also correlation plot and final correlation plot it should be noted that both signal have same spectral structure,they ...
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59 views

Can I use correlation metrics also for time series?

I was using the cross correlation function in R (ccf) until now to discover correlations and lags between two time series. I was wondering if I can use all other ...
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12 views

Can the coherency spectrum be used as a substitute for cross-correlation?

I know I could inverse Fourier Transform from the frequency domain to the time domain, but let's say I don't want that. Can I make the same conclusions by using the coherency spectrum just as I would ...
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1answer
63 views

Similarity between two samples (2D matrices)

I have two matrices: A= 4000x78 where 78 is the dimension of features and 4000 is the number of samples. B= 1000x78 where 78 is the dimension of features and 1000 is the number of samples again. ...
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1answer
49 views

How to obtain cross-correlation function from cross-spectrum?

I have implemented a piece of code based on the Lomb-Scargle approach for determining the cross-spectrum of two time series. My cross spectrum contains complex numbers and I have used the basic fft ...
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0answers
16 views

Time series causation and probability

I have a series for an individual that looks like this: There are observations of the individual at random times. At each time they may experience an event and the outcome fo that event is binary ...
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3answers
150 views

Is my time series stationary?

I am using R and have found that both KPSS ( Kwiatkowski-Phillips-Schmidt-Shin ) and the adf (Dickey-Fuller) tests indicate stationarity, having a p-value of 0.01. Here is a plot of the original ...
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1answer
100 views

How do you generate correlated ARMA(1,1) models?

I am interested in generating two ARMA(1,1) time series with a pre-defined cross-correlation p between x(t) and y(t). If you could please provide the mathematical framework and the code in R for ...
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1answer
77 views

How to Determine whether Simulation Draws are Correct

I have implemented algorithm 1 and 2 in this paper http://www.lse.ac.uk/statistics/documents/researchreport61.pdf for the analysis/simulation hidden states for some time series. The reason why I am ...
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1answer
165 views

How to synchronize two signals using FFT in R?

I have two signals that I want to synchronize. I could achieve this by doing a cross-correlation using the ccf function and finding the lag time at which the ...
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16 views

Cross correlation using photographic film

I used to work for a guy who told me about working for an oil company, probably in the 1960's, doing cross correlation work by sliding two pieces of developed film strips across each other (maybe they ...
2
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0answers
56 views

How to estimate the percent of the variation of a time series explained by another time series (non-stationary)?

I've been learning about time series analysis because I want to understand how much groundwater level changes in an aquifer affect land subsidence (land sinking). I have two time series: (1) ...
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0answers
139 views

Hayashi yoshida estimator for correlation not coming between -1 to 1

I took two time series data with 141 data points in total with time stamps. i found out actual correlation between them which is about 0.97. Now i find the Hayashi Yoshida estimator for correlation. ...
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66 views

Linear regression with a delay : $R(t)= a S(t-\delta) + \epsilon$

$R(t)$ corresponds to soil respiration values in function of the time $S(t)$ corresponds to solar radiation values in function of the time $R(t) = a S(t-\delta) + \epsilon$ How calculate the ...
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1answer
323 views

Spatial Cross-correlation Function

I have code that calculates a bias-adjusted estimator xi(r) defined as a measure of the excess probability dP, above what is expected for an unclustered random ...
2
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2answers
287 views

Reproduce Cross Correlation results in Python

I'm trying and failing to reproduce the results found in this paper, where the cross correlation between two distributions is calculated: ...
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0answers
106 views

3 month forecast for commodity prices in R - general help for approach

In the following I'll describe my undertaking as detailed as possible in order to provide you enough information. Please keep in mind (when answering) that neither I'm a matematician nor a ...
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79 views

Cross-correlation vs. Pearson Correlation

In general terms, what is the difference(s) between cross-correlation with lag = 0 and Pearson correlation?
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1answer
382 views

Cross correlation for very sparse binary data

I have a very large (5271159x60) sparse (~2.5%) binary matrix, and I'd like to calculate the cross correlation between each of the columns (sensors) for a series of lags from -10:10, which would give ...