Online detection of changes in stochastic systems, referred to as sequential change
detection or quickest change detection, is an important research topic in statistics, signal …

ABSTRACT The 2016 M w 7.8 Kaikōura earthquake continued a notable decade of
damaging earthquake impacts in New Zealand. The effects were wide ranging across the …

Aftershocks can compound the impacts of a major earthquake, disrupting recovery efforts
and potentially further damaging weakened buildings and infrastructure. Forecasts of the …

Statistical methods and various models in time-space-magnitude parameter space of
earthquakes are being developed to analyze seismic activity based on earthquake …

The discovery of conserved (repeated) patterns in time series is arguably the most important
primitive in time series data mining. Called time series motifs, these primitive patterns are …

Abstract The Epidemic‐Type Aftershock Sequence (ETAS) model is widely used to describe
the occurrence of earthquakes in space and time, but there has been little discussion …

The evaluation of the b value of the Gutenberg–Richter (GR) law, for a sample composed of
n earthquakes, presents a systematic positive bias δ b which is proportional to 1/n. In this …

This study investigates the missing data problem in the Japan Meteorological Agency
catalog of the Kumamoto aftershock sequence, which occurred since April 15, 2016, in …

Aftershock rates typically decay with time t after the mainshock according to the Omori–Utsu
law, R (t)= K (c+ t)− p, with parameters K, c, and p. The rate‐and‐state (RS) model, which is …

The elaboration of reliable forecasting in the first hours after large shocks, very useful for the
postseismic management, is strongly affected by the huge incompleteness of seismic …