In this paper, we provide a method to estimate the space-time intensity of a branching-type point process by mixing nonparametric and parametric approaches. The method accounts simultaneously for the estimation of the different model components, applying a forward predictive likelihood estimation approach to semi-parametric models.

(2014). Space-time point processes semi-parametric estimation with predictive measure information [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/31630

Space-time point processes semi-parametric estimation with predictive measure information

2014-01-01

Abstract

In this paper, we provide a method to estimate the space-time intensity of a branching-type point process by mixing nonparametric and parametric approaches. The method accounts simultaneously for the estimation of the different model components, applying a forward predictive likelihood estimation approach to semi-parametric models.
2014
Adelfio, Giada; Chiodi, Marcello
File allegato/i alla scheda:
File Dimensione del file Formato  
3119-6476-1-PB.pdf

accesso aperto

Dimensione del file 150.61 kB
Formato Adobe PDF
150.61 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/31630
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact