A continuous piecewise-linear NHPP intensity function estimator

David M. Nicol, Lawrence M. Leemis

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We consider the problem of using either grouped observations of a counting process over a period or prescribed constant mean counts to create an intensity function for a Non-Homogeneous Poisson Process (NHPP) that estimates the observed process, and satisfies several constraints. First, we require that the estimator's mean value over an observation interval be equal to the mean number of observations in that interval; second, we require that the intensity function be continuous; third, we require that the function be piecewise linear. Optionally, we may also require that the intensity value at the end of the period be identical to the intensity value at the beginning of the period, for application in contexts in which the period of interest is inherently cyclic, e.g., a day, or a week. An objective of the estimator is that it should be 'smooth,' which will be defined subsequently. Our approach is to define a class of continuous piecewise-linear intensity functions and formulate the problem as a constrained quadratic programming problem, approachable through the solution of a simultaneous set of linear equations. We describe the method, identify conditions under which feasible solutions are assured to exist, and study the behavior of the solutions on an example problem.

Original languageEnglish (US)
Title of host publicationProceedings of the 2014 Winter Simulation Conference, WSC 2014
EditorsAndreas Tolk, Levent Yilmaz, Saikou Y. Diallo, Ilya O. Ryzhov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages12
ISBN (Electronic)9781479974863
StatePublished - Jan 23 2015
Event2014 Winter Simulation Conference, WSC 2014 - Savannah, United States
Duration: Dec 7 2014Dec 10 2014

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Other2014 Winter Simulation Conference, WSC 2014
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications


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