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.
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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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