Regression trees and forests for non-homogeneous Poisson processes

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2015 English Publisher:Elsevier BVJournal:Statistics & Probability Letters, volume 96, pages 204-211 (issn: 0167-7152,

Copyright policy )Funded by:NSERC | unidentified

Authors: Mathlouthi, Walid; Fredette, Marc; Larocque, Denis;

doi: 10.1016/j.spl.2014.09.025

Regression trees and forests for non-homogeneous Poisson processes

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Abstract

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HEC Montréal
Canada

Keywords

random forests, recursive partitioning, Random graphs (graph-theoretic aspects), Trees, recurrent events, non-homogeneous Poisson processes, Poisson tree, Point processes (e.g., Poisson, Cox, Hawkes processes), maximum likelihood

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