Today's social media platforms are excellent vehicles for businesses to build and foster
relationship with customers. Companies create official fan pages on social network websites …

We introduce a new type of point process model to describe the incidence of contagious
diseases. The model incorporates the premise that when a disease occurs at low frequency …

The object of this work is to predict the seismic rate in Chile by using two Deep Neural
Network (DNN) architectures, Long Short Term Memory (LSTM) and Convolutional Neural …

The epidemic-type aftershock sequence (ETAS) model is the most widely used statistical
model to describe earthquake catalogs. ETAS is an R package for fitting the space-time …

A new type of Hawkes process, known as the fractional Hawkes Process (FHP), has been
recently introduced. This process uses a Mittag-Leffler density as the kernel function which is …

Abstract The Raton Basin has been an area of injection induced seismicity for the past two
decades. Previously, the reactivated fault zone structures and spatiotemporal response of …

We fit various forms of the ETAS model to a large region that includes all of the most
seismically active areas of New Zealand. The ETAS model contains two components: a …

Abstract The 2019 Ridgecrest, California, earthquake sequence represents a complex
pattern of seismicity that is characterized by the occurrence of a well‐defined foreshock …

This study tested five methods widely used in estimating the complete magnitudes (MC) of
earthquakes. Using catalogs of observed earthquake properties, we test the performance of …

The first part of this book discusses institutions and mechanisms of algorithmic trading,
market microstructure, high-frequency data and stylized facts, time and event aggregation …