### Abstract

Lingua originale | English |
---|---|

pagine (da-a) | - |

Numero di pagine | 29 |

Rivista | Journal of Statistical Software |

Volume | 76 |

Stato di pubblicazione | Published - 2017 |

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### All Science Journal Classification (ASJC) codes

- Software
- Statistics, Probability and Uncertainty
- Statistics and Probability

### Cita questo

**Mixed Non-Parametric and Parametric Estimation Techniques in R Package etasFLP for Earthquakes’ Description.** / Chiodi, Marcello; Adelfio, Giada.

Risultato della ricerca: Article

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TY - JOUR

T1 - Mixed Non-Parametric and Parametric Estimation Techniques in R Package etasFLP for Earthquakes’ Description

AU - Chiodi, Marcello

AU - Adelfio, Giada

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10447/230419

M3 - Article

VL - 76

SP - -

JO - Journal of Statistical Software

JF - Journal of Statistical Software

SN - 1548-7660

ER -