6533b7d2fe1ef96bd125f5fa

RESEARCH PRODUCT

Second-order diagnostics for space-time point processes with application to seismic events

Marcello ChiodiGiada Adelfio

subject

Statistics and ProbabilityDiagnostic methodsComputer scienceEcological ModelingSpace timeProcess (computing)ResidualPoint processFractalGoodness of fitOrder (business)EconometricsSettore SECS-S/01 - StatisticaAlgorithmPoint processes residual analysis second-order features ETAS model seismic process

description

A diagnostic method for space-time point process is introduced and used to interpret and assess the goodness of fit of particular models to real data such as the seismic ones. The proposed method is founded on the definition of a weighted process and allows to detect second-order features of data, like long-range dependence and fractal behavior, that are not accounted for by the fitted model. Applications to earthquake data are provided. Copyright © 2008 John Wiley & Sons, Ltd.

yearjournalcountryeditionlanguage
2008-01-01Environmetrics
https://doi.org/10.1002/env.961