Correlation and convolution (function or number)

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SUMMARY

The discussion centers on the distinction between correlation and convolution in statistical analysis. Correlation can be represented as a number, specifically the Pearson's product-moment coefficient, when dealing with independent random variables. However, when these variables are part of a stochastic process, correlation manifests as a function, specifically an autocorrelation function. Convolution, on the other hand, is defined as a specific integration process that can yield a correlation depending on the functions involved.

PREREQUISITES
  • Understanding of Pearson's product-moment coefficient
  • Knowledge of stochastic processes
  • Familiarity with autocorrelation functions
  • Basic principles of convolution in mathematical analysis
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  • Explore the properties of Pearson's product-moment coefficient
  • Study the concept of stochastic processes in depth
  • Learn about autocorrelation functions and their applications
  • Investigate the mathematical principles behind convolution
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Statisticians, data analysts, mathematicians, and anyone involved in statistical modeling or signal processing will benefit from this discussion.

pinsky
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I have a problem about correlation depending whether it it observed as a measurement of linear fit of statistical data, and when observed as a relationship between two continuous functions.

Is a result of correlation a coefficient (Pearson's product-moment coefficient) or a function?
If the correlation is a number, what information does a autocorrelation correlogram represent?

And if correlation is a number, why is convolution a function then?

tnx
 
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A correlation is a relationship between a pair of random variables.

If these are stand alone, it is a number.

If the random variables are elements of a stochastic process, the the correlation will be a function of the parameters of the stochastic process.

If the random variables are terms in the same stochastic process, then the correlation is an auto-correlation function.

A convolution is a particular kind of integration process. The result may be a correlation, depending on what functions are involved.
 

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