We introduce a new method to determine the magnitude of completeness M c and its
uncertainty. Our method models the entire magnitude range (emr method) consisting of the …

We present a new method for estimating earthquake detection probabilities that avoids
assumptions about earthquake occurrence, for example, the event-size distribution, and …

Assessing the completeness magnitude M c of earthquake catalogs is an essential
prerequisite for any seismicity analysis. We employ a simple model to compute M c in space …

We present the first detailed study of earthquake detection capabilities of the Italian National
Seismic Network and of the completeness threshold of its earthquake catalog. The network …

We propose a multiscale method to map the spatial variations of the completeness
magnitude M c of earthquake catalogs. The Gutenberg–Richter law describing the …

We apply and evaluate a recent machine learning method for the automatic classification of
seismic waveforms. The method relies on Dynamic Bayesian Networks (DBN) and …

We present a complete history of earthquake detection probabilities and detection
completeness levels for the Japanese seismic network from 1923 to, and including, 2014 in …

We studied the earthquake detection capacity of DONET (Dense Oceanfloor Network system
for Earthquakes and Tsunamis) operating in the Nankai Trough, a target region monitored …

The estimation of the magnitude of completeness mc have strong consequences in any
statistical analysis of seismic catalogue and in the evaluation of the seismic hazard. Here a …

All earthquake catalogs share three features: the earthquakes cluster in space and time, the
small earthquakes greatly outnumber the big ones, and many earthquakes that actually …