Estimation of an ETAS model. Mixed FLP (Forward Likelihood
Predictive) and ML estimation of non-parametric and parametric
components of the ETAS model for earthquake description.
Description
Estimation of the components of an ETAS model for earthquake description.
Non-parametric background seismicity can be estimated through FLP (Forward Likelihood Predictive), while parametric components are estimated through maximum likelihood.
The two estimation steps are alternated until convergence is obtained.
For each event the probability of being a background event is estimated and used as a weight for declustering steps. Many options to control the estimation process are present. Some descriptive functions for earthquakes catalogs are present; also plot, print, summary, profile methods are defined for main output (objects of class "etasclass").