“Catching long tail distribution” (Ted Dunning)

One of the best presentations on what can happen if someone takes a naive approach to network data. It also highlights what is, to my mind, the greatly underappreciated t-distribution, which is typically only used in connection with frequentist Student t-tests, but serves as a generator someplace between the Gaussian and the crazy Cauchy distribution. Also relevant is the Lévy flight which has significance in biology. (See also.)

The message is that a combination of multiple paths, sampling rate changes, and a glitch on one of the paths can make an event appear to occur where there is none.

About ecoquant

See https://667-per-cm.net/about. Retired data scientist and statistician. Now working projects in quantitative ecology and, specifically, phenology of Bryophyta and technical methods for their study.
This entry was posted in Cauchy distribution, complex systems, data science, Lévy flights, leptokurtic, mathematics, maths, networks, physics, population biology, population dynamics, regime shifts, sampling, statistics, Student t distribution, time series. Bookmark the permalink.

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