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AbsoluteCorrelationFunction
BUILT-IN MATHEMATICA SYMBOL
AbsoluteCorrelationFunction
AbsoluteCorrelationFunction[data, hspec]
estimates the absolute correlation function at lags hspec from data.
AbsoluteCorrelationFunction[proc, hspec]
represents the absolute correlation function at lags hspec for the random process proc.
AbsoluteCorrelationFunction[proc, s, t]
represents the absolute correlation function at times s and t for the random process proc.
DetailsDetails
- AbsoluteCorrelationFunction is also known as the autocorrelation function.
- AbsoluteCorrelationFunction for a process proc with value
at time t is given by: -
Expectation[x[s]x[t]] for a scalar-valued process Expectation[x[s]
x[t]]for a vector-valued process - AbsoluteCorrelationFunction[proc, h] is defined only if proc is a weakly stationary process and is equivalent to AbsoluteCorrelationFunction[proc, 0, h].
- AbsoluteCorrelationFunction[{x1, ..., xn}, h] is equivalent to
. - When data is TemporalData containing an ensemble of paths, the output represents the average across all paths.
- The following specifications can be given for hspec:
-

at time or lag 
{
max}unit spaced from 0 to 
{
min,
max}unit spaced from
to 
{
min,
max,d
}from
to
in steps of d
{{
1,
2,...}}use explicit 
ExamplesExamplesopen allclose all
Basic Examples (4)Basic Examples (4)
Estimate the absolute correlation function at lag 2:
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Sample the absolute correlation function for a random sample from an autoregressive time series:
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The absolute correlation function for a discrete-time process:
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The absolute correlation function for a continuous-time process:
| In[1]:= |
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