6533b7defe1ef96bd1275f97

RESEARCH PRODUCT

Mixed Non-Parametric and Parametric Estimation Techniques in R Package etasFLP for Earthquakes’ Description

Marcello ChiodiGiada Adelfio

subject

Statistics and ProbabilityEarthquakeComputer scienceFortranFortranInduced seismicity010502 geochemistry & geophysicscomputer.software_genre01 natural sciencesPlot (graphics)Point processPhysics::GeophysicsPoint proce010104 statistics & probabilityetasFLP; R; Fortran; point process; ETAS; earthquakesETAS0101 mathematicsearthquakeslcsh:Statisticslcsh:HA1-4737AftershockEtasFLPpoint process0105 earth and related environmental sciencesEvent (probability theory)Parametric statisticscomputer.programming_languageNonparametric statisticsRetasFLP R Fortran point process ETAS earthquakes.Data miningStatistics Probability and UncertaintySettore SECS-S/01 - StatisticacomputerAlgorithmSoftware

description

etasFLP is an R package which fits an epidemic type aftershock sequence (ETAS) model to an earthquake catalog; non-parametric background seismicity can be estimated through a forward predictive likelihood approach, while parametric components of triggered seismicity are estimated through maximum likelihood; estimation steps are alternated until convergence is obtained and for each event the probability of being a background event is estimated. The package includes options which allow its wide use. Methods for plot, summary and profile are defined for the main output class object. The paper provides examples of the package's use with description of the underlying R and Fortran routines.

yearjournalcountryeditionlanguage
2017-01-11
10.18637/jss.v076.i03http://hdl.handle.net/10447/230419