Earthquake forecasting is known to be a challenging research program for which no single prediction method can claim to be the best. At large, earthquake data when viewed as a time series over a long time, exhibits a complex pattern that is composed of a mix of statistical features. A single prediction algorithm often does not yield an optimal forecast by analyzing over a long series that is co...

The Collaboratory for the Study of Earthquake Predictability (CSEP) aims to advance earthquake research by rigorous testing of earthquake forecast hypotheses. As in other disciplines, such hypothesis testing requires carefully designed experiments that meet certain requirements: they should be reproducible, fully transparent, and conducted within a controlled environment. CSEP has begun buildin...

Abstract The catastrophic magnitude of life and monetary losses associated with earthquakes deserve serious attention mitigation measures. However, in addition to the pre-earthquake post-earthquake alleviation actions, scientific community indeed needs reconsider possibilities earthquake predictions using non-seismic precursors. A significant number studies recent decades have reported several ...

This research project investigates the ability of artiicial neural networks (ANNs) to predict time series. Speciically, this project examined two applications: predicting electrical power demand and earthquake tremors in Los Angeles. The ANNs modeling power demand not only predicted the next day's peak power demand, but also generated a 24-hour proole of the demand for the next day. These ANNs ...

Implementing and exploring innovative approaches to seismicity analysis and earthquake statistics has been the focus of my research for the past five years. The comprehensive seismicity analysis software that I have developed, ZMAP, is distributed by IASPEI and now in use in more than 30 research institutes worldwide. This resulted in multiple opportunities for collaborative research projects. ...

Displacements induced by earthquake can be very large and result in severe damage to earth and earth supported structures including embankment dams, road embankments, excavations and retaining walls. It is important, therefore, to be able to predict such displacements. In this paper, a new approach to prediction of earthquake induced displacements of slopes (EIDS) using hybrid support vector re...

We re-examine and summarize what is now possible in predicting earthquakes, what might be accomplished (and hence might be possible in the next few decades) and what types of predictions appear to be inherently impossible based on our understanding of earthquakes as complex phenomena. We take predictions to involve a variety of time scales from seconds to a few decades. Earthquake warnings and ...

b-Value Variations Preceding the Devastating, 1999 Earthquake, near Izmit, Turkey Sara Andersson The potential of temporal b-value variations as an intermediate-term (weeks to months) earthquake precursor was investigated in the western portion of the North Anatolian Fault Zone (NAFZ), between January 1982 to December 2004. The focus of the study is on the devastating, 1999 earthquake, near Izm...