Alternated estimation in semi-parametric space-time branching-type point processes with application to seismic catalogs

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16 Citazioni (Scopus)

Abstract

An estimation approach for the semi-param\-etric intensity function of a class of space-time point processes is introduced. In particular we want to account for the estimation of parametric and nonparametric components simultaneously, applying a forward predictive likelihood to semi-parametric models. For each event, the probability of being a background event or an offspring is therefore estimated.
Lingua originaleEnglish
pagine (da-a)443-450
Numero di pagine8
RivistaStochastic Environmental Research and Risk Assessment
Volume29
Stato di pubblicazionePublished - 2015

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Environmental Science(all)
  • Safety, Risk, Reliability and Quality
  • Water Science and Technology
  • Environmental Chemistry

Cita questo

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title = "Alternated estimation in semi-parametric space-time branching-type point processes with application to seismic catalogs",
abstract = "An estimation approach for the semi-param\-etric intensity function of a class of space-time point processes is introduced. In particular we want to account for the estimation of parametric and nonparametric components simultaneously, applying a forward predictive likelihood to semi-parametric models. For each event, the probability of being a background event or an offspring is therefore estimated.",
author = "Marcello Chiodi and Giada Adelfio",
year = "2015",
language = "English",
volume = "29",
pages = "443--450",
journal = "Stochastic Environmental Research and Risk Assessment",
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T1 - Alternated estimation in semi-parametric space-time branching-type point processes with application to seismic catalogs

AU - Chiodi, Marcello

AU - Adelfio, Giada

PY - 2015

Y1 - 2015

N2 - An estimation approach for the semi-param\-etric intensity function of a class of space-time point processes is introduced. In particular we want to account for the estimation of parametric and nonparametric components simultaneously, applying a forward predictive likelihood to semi-parametric models. For each event, the probability of being a background event or an offspring is therefore estimated.

AB - An estimation approach for the semi-param\-etric intensity function of a class of space-time point processes is introduced. In particular we want to account for the estimation of parametric and nonparametric components simultaneously, applying a forward predictive likelihood to semi-parametric models. For each event, the probability of being a background event or an offspring is therefore estimated.

UR - http://hdl.handle.net/10447/101705

M3 - Article

VL - 29

SP - 443

EP - 450

JO - Stochastic Environmental Research and Risk Assessment

JF - Stochastic Environmental Research and Risk Assessment

SN - 1436-3240

ER -