Event series prediction via non-homogeneous Poisson process modelling

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Event series prediction via non-homogeneous Poisson process modelling

Data streams whose events occur at random arrival times rather than at the regular, tick-tock intervals of traditional time series are increasingly prevalent. Event series are continuous, irregular and often highly sparse, differing greatly in nature to the regularly sampled time series traditionall...

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Bibliographic Details
Main Authors:	Goulding, James, Preston, Simon P., Smith, Gavin
Format:	Conference or Workshop Item
Published:	2016
Online Access:	https://eprints.nottingham.ac.uk/52161/

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