The driving risk of novice teenagers is the highest during the initial period after licensure but
decreases rapidly. This paper applies two recurrent-event change-point models to detect the …

This study proposes a new scheme for measurement of safety performance in work systems
using segmented point process models that can capture the points of changes in the …

High levels of the so-called community noise may produce hazardous effect on the health of
a population exposed to them for large periods of time. Hence, the study of the behaviour of …

The driving risk during the initial period after licensure for novice teenage drivers is typically
the highest but decreases rapidly right after. The change-point of driving risk is a critical …

This paper proposes a non-parametric Bayesian approach to detect the change-points of
intensity rates in the recurrent-event context and cluster subjects by the change-points …

Change-point detection in the context of recurrent-event is a valuable analysis tool for the
identification of the intensity rate changes. It has been an interesting topic in many fields …

Time to event data have long been important in many applied fields. Many models and
analysis methods have been developed for this type of data in which each sample unit …

In this work, some non-homogeneous Poisson models are considered to study the
behaviour of ozone in the city of Puebla, Mexico. Several functions are used as the rate …

This study proposes a non-parametric Bayesian approach to the inference of the L-shaped
hazard rate with a change point, which has been observed for nanoelectronic devices in …

Gun violence leads to tens of thousands of fatalities in the United States each year. Although
a very small proportion of gun violence in the United States is due to mass shootings, the …