Results 111 to 120 of about 20,136 (219)
Complexity, 2018 In this paper, a size-independent modification of the general detrended fluctuation analysis (DFA) method is introduced. With this modified DFA, seismic time series (m≥4.5) pertaining to most seismically active regions of the world from the year 1972 up ...
Ke Ma, Long Guo, Wangheng Liu
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Geophysical Research Letters, Volume 53, Issue 7, 16 April 2026.Abstract Gravity Recovery and Climate Experiment (GRACE) observation data processed by various institutions yields somewhat different spherical harmonic solutions, which are further used to derive terrestrial water storage (TWS) changes. Combining TWS solutions from different institutions helps to refine the effective signal while removing noise.
Wei You +3 more
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Signatures of criticality in turning avalanches of schooling fish
Physical Review ResearchMoving animal groups transmit information through propagating waves or behavioral cascades, exhibiting characteristics akin to systems near a critical point from statistical physics. Using data from freely swimming schooling fish in an experimental tank,
Andreu Puy +4 more
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Bayesian earthquake forecasting approach based on the epidemic type aftershock sequence model
Earth, Planets and SpaceThe epidemic type aftershock sequence (ETAS) model is used as a baseline model both for earthquake clustering and earthquake prediction. In most forecast experiments, the ETAS parameters are estimated based on a short and local catalog, therefore the ...
Giuseppe Petrillo, Jiancang Zhuang
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Perspective Chapter: Statistical Seismology
Seismology, known as the science of earthquakes, is a branch of geophysics that studies earthquakes, seismic wave propagation within the earth, measurement instruments (seismographs) and seismic methods, evaluation of data, and other earthquake-related issues. Statistics is the science of collecting data accurately, learning from data, and transforming
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Current Challenges in Statistical Seismology [PDF]
Pure and Applied Geophysics, 2016 Qinghua Huang +2 more
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Editorial: Physical and statistical approaches to earthquake modeling and forecasting
Frontiers in Applied Mathematics and Statistics, 2023 Ilaria Spassiani +3 more
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Statistical seismology: preface to the topical issue [PDF]
Acta Geophysica, 2017 Rodolfo Console +3 more
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Forecasting Future Earthquakes with Machine Learning Models Based on Seismic Prediction Zoning
Applied SciencesPredicting future seismic trends and occurrence of earthquakes remains a long-standing challenge in seismology. Despite substantial efforts to unravel the physical mechanisms underlying earthquake occurrence, currently, no well-defined physical or ...
Xiaolin Chen, Daicheng Peng, Li Li
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Journal of Geophysical Research: Solid EarthAbstractThe Epidemic‐Type Aftershock Sequences (ETAS) model and its variants effectively capture the space‐time clustering of seismicity, setting the standard for earthquake forecasting. Accurate unbiased ETAS calibration is thus crucial. But we identify three sources of bias, (a) boundary effects, (b) finite‐size effects, and (c) censorship, which are
Jiawei Li +4 more
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