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Palabras clave – provistas por la editorial

system-analytical method; earthquake-prone areas; pattern recognition; clustering; machine learning; earthquake catalogs; high seismicity criteria; tidal triggering of earthquakes; seismic cycle; coulomb failure stress; preparatory phase; seismic prediction; earthquake forecasting; precursors; statistical seismology; earthquake likelihood models; seismicity patterns; New Zealand; California; smoothed seismicity methods; global seismicity; foreshocks and aftershocks; earthquake forecasting model; statistical methods; magnitude-frequency distribution; corner magnitude; tapered Pareto; tapered Gutenberg-Richter; epidemic type aftershock sequence model; extreme value distribution; Bayesian predictive distribution; seismicity clustering; DBSCAN algorithm; markovian arrival processes; numerical modeling; earthquake simulator; earthquake clustering; northern and central Apennines; n/a