Difference between revisions of "Stochastic Process with Memory"
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| − | memory in a stochastic process | + | For a review of memory in a stochastic process <ref>GENNADY SAMORODNITSKY ''LONG RANGE DEPENDENCE'' Cornell (2007?) https://people.orie.cornell.edu/gennady/techreports/LRD-NOW.pdf<ref> |
==Context== | ==Context== | ||
The first serious argument that this can be important is | The first serious argument that this can be important is | ||
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with scaling and fractal behaviour. | with scaling and fractal behaviour. | ||
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==References== | ==References== | ||
Revision as of 09:52, 29 November 2024
Full Title
For a review of memory in a stochastic process <ref>GENNADY SAMORODNITSKY LONG RANGE DEPENDENCE Cornell (2007?) https://people.orie.cornell.edu/gennady/techreports/LRD-NOW.pdf<ref>
Context
The first serious argument that this can be important is in a series of papers of B. Mandelbrot and his co-authors, e.g. Mandelbrot (1965) and Mandelbrot and Wallis (1968). It is also due to the influence of these early papers and subsequent publications of Mandelbrot (especially Mandelbrot (1983)) that long range dependence has also become associated with scaling and fractal behaviour.
