Energy distance is a statistical distance between the distributions of random vectors, which
characterizes equality of distributions. The name energy derives from Newton's gravitational …

The energy of data is the value of a real function of distances between data in metric spaces.
The name energy derives from Newton's gravitational potential energy, which is also a …

Beta-amyloid deposition is a defining feature of Alzheimer's disease (AD). How genetic risk
factors, like APOE and TREM2, intersect with cellular responses to beta-amyloid in human …

Online detection of changes in stochastic systems, referred to as sequential change
detection or quickest change detection, is an important research topic in statistics, signal …

Change point detection is an important part of time series analysis, as the presence of a
change point indicates an abrupt and significant change in the data generating process …

We propose a new technique, called wild binary segmentation (WBS), for consistent
estimation of the number and locations of multiple change-points in data. We assume that …

In this study we examine processes of motivational change for middle school language
learners (N= 174) within the classroom ecology of genre-based writing. Through longitudinal …

INTRODUCTION The Mekong River provides renewable energy and food security for a
population of more than 60 million people in six countries: China, Myanmar, Lao PDR …

We adopted an approach based on an LSTM neural network to monitor and detect faults in
industrial multivariate time series data. To validate the approach we created a Modelica …

Background In complex systems early warning signals such as rising autocorrelation,
variance and network connectivity are hypothesized to anticipate relevant shifts in a system …