Massive spatio-temporal event data sets are now available that cover events such as
disease outbreaks, armed conflicts and crimes. Predicting such events and revealing the …

This paper introduces a novel methodology that utilizes latency to unveil time-series
dependence patterns. A customized statistical test detects memory dependence in event …

Earthquake is a natural phenomenon that is random, irregular in space and time. Until now
the forecast of earthquake occurrence at a location is still difficult to be estimated so that the …

La modelización estadística constituye un conjunto de formulaciones matemáticas que
proporcionan un mejor entendimiento de los fenómenos, especialmente en los que …

Hawkes processes are a class of auto-regressive point processes that are commonly used
in modeling data in which events tend to cluster and influence the likelihood of future events …

Hawkes model or self-exciting point process model is a branching point process model. The
model classifies the dataset of discrete events to background and offspring events. It has …

With the recent developments in mobile and sensor technologies, a large amount of event
data on social and natural phenomena are being continuously generated from a plurality of …

This study aims to obtain a mapping of seismic hazard vulnerability of Special Region of
Yogyakarta (DIY) using the Fuzzy Simple Additive Weighting (FSAW) method. This mapping …

Currently, the food consumption in Indonesia especially in Java is dominated on rice. The
dependence on rice and ignoring the potential of local food will be very dangerous …

Relating to the occurrence of earthquakes, elastic rebound theory shows the accumulated
elastic pressure in the seismic region due to the movement of plate tectonics which is …