Literature DB >> 16542238

Tests for independence between marks and points of a marked point process.

Yongtao Guan1.   

Abstract

A convenient assumption while modeling a marked point process is that the observations (i.e., marks) and the locations (i.e., points) are independent. We propose new graphical and formal testing approaches to test for this assumption. The proposed graphical procedures are easy to obtain and can be used to diagnose the nature and range of dependence between marks and points. The formal testing procedures require only minimal conditions on marks and thus can be applied to a variety of settings. We illustrate these procedures through a simulation study and an application to some real data.

Mesh:

Year:  2006        PMID: 16542238     DOI: 10.1111/j.1541-0420.2005.00395.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  2 in total

1.  A copula model for marked point processes.

Authors:  Liqun Diao; Richard J Cook; Ker-Ai Lee
Journal:  Lifetime Data Anal       Date:  2013-05-10       Impact factor: 1.588

2.  Marginal mark regression analysis of recurrent marked point process data.

Authors:  Benjamin French; Patrick J Heagerty
Journal:  Biometrics       Date:  2009-06       Impact factor: 2.571

  2 in total

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