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Well, yes, it's beautiful.))
And before that there was such a deal.
Eugene - don't stall, open the signal.
The eager ones are waiting.
Where do these distributions come from?
О!
I'll probably wait for the Automat to write an article about ACF and then I'll rush off again in pursuit of the healing Grail.
Yes, I too am interested in what new things the Automaton can tell us about the ACF that are not in the textbooks.
Autocorrelation could help sort out the following junk (pardon the below portent):
I.e. VisSim has actually 3 ways of calculating the discrete autocorrelation estimate.
Which one should be used so that:
1. there are no conditions for applying tau=const. I'm interested solely and only in dynamic exponential tau.
2. there is an explicit criterion that for a given sample N the ACF is exponentially decreasing.
???
Which one should be used so that:
1. there are no conditions for applying tau=const. I am interested solely and only in dynamic exponential tau.
2. there was an explicit criterion that for a given sample N the ACF is exponentially decreasing.
???
1. There is no limitation here. A single ACF point is calculated.
Don't ruin my last hope, Yuri...
I believe in ACF like a child, that it's exactly what I need - a "trend/flop" parameter like Hearst.
I just can't apply it properly.
Blessed are the believers.
;)))
Don't ruin my last hope, Yuri...
I believe in ACF like a child, that it's exactly what I need - a Hearst-like trend/flat parameter.
Just can't apply it properly.
exponentially decreasing ACF.
We have to transform the data so that this condition is always satisfied.
I laughed for a long time) great joke, keep on laughing)
OK, you're basically right of course. Peasant control question, for three points: is such a transformation possible for SB?