What is it about?

A simple scaling exponent of a fractal point process is interpreted in terms of a parameter that quantifies how episodic events are. A method of estimating the intermittency parameter is defined and illustrated. The paper also proposes a fractal point process that differs from the fractal renewal process.

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Why is it important?

The proposed method of quantifying the intermittency of a point process is a simple way to measure how much a fractal point process differs from a Poisson process. Due to the simplicity of intermittency as a measure of how punctuated or clustered events are, the range of potential applications goes far beyond the biological examples in the paper.

Perspectives

This paper is related to those from my PhD research. To see them, follow the "Related papers" link.

David R. Bickel
University of North Carolina at Greensboro

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This page is a summary of: Estimating the intermittency of point processes with applications to human activity and viral DNA, Physica A Statistical Mechanics and its Applications, April 1999, Elsevier,
DOI: 10.1016/s0378-4371(98)00658-x.
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