Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes

Giada Adelfio, Marianna Siino, Giada Adelfio, Jorge Mateu

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


We propose a new fitting method to estimate the set of second-order parameters for the class of homogeneous spatiotemporallog-Gaussian Cox point processes. With simulations, we show that the proposed minimum contrast procedure,based on the spatio-temporal pair correlation function, provides reliable estimates and we compare the results with thecurrent available methods. Moreover, the proposed method can be used in the case of both separable and non-separableparametric specifications of the correlation function of the underlying Gaussian Random Field. We describe earthquakesequences comparing several Cox model specifications.
Original languageEnglish
Pages (from-to)3525-3539
Number of pages15
JournalStochastic Environmental Research and Risk Assessment
Publication statusPublished - 2018

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Environmental Chemistry
  • Safety, Risk, Reliability and Quality
  • Water Science and Technology
  • General Environmental Science


Dive into the research topics of 'Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes'. Together they form a unique fingerprint.

Cite this