Multi-dimensional point process models in R

Roger Peng

Research output: Contribution to journal › Article

Abstract

A software package for fitting and assessing multi-dimensional point process models using the R statistical computing environment is described. Methods of residual analysis based on random thinning are discussed and implemented. Features of the software are demonstrated using data on wildfire occurrences in Los Angeles County, California and earthquake occurrences in Northern California.

Original languageEnglish (US)
Pages (from-to)1-27
Number of pages27
JournalJournal of Statistical Software
Volume8
StatePublished - 2003
Externally publishedYes

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Residual Analysis
Statistical Computing
Thinning
Point Process
Earthquake
Software Package
Software packages
Process Model
Earthquakes
Software
Process model
Point process
Wildfire

ASJC Scopus subject areas

  • Software
  • Statistics and Probability

Cite this

Multi-dimensional point process models in R. / Peng, Roger.

In: Journal of Statistical Software, Vol. 8, 2003, p. 1-27.

Research output: Contribution to journal › Article

Peng, R 2003, 'Multi-dimensional point process models in R', Journal of Statistical Software, vol. 8, pp. 1-27.
Peng R. Multi-dimensional point process models in R. Journal of Statistical Software. 2003;8:1-27.
Peng, Roger. / Multi-dimensional point process models in R. In: Journal of Statistical Software. 2003 ; Vol. 8. pp. 1-27.
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