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 …

Abstract The World Energy Council releases the Energy Trilemma Index (ETI) report
annually primarily to assess the energy performance of countries worldwide. Nevertheless …

Blue carbon is the carbon storage in vegetated coastal ecosystems such as mangroves, salt
marshes, and seagrass. It is gaining global attention as its role in climate change mitigation …

In this article, we propose a general framework for distribution-free nonparametric testing in
multi-dimensions, based on a notion of multivariate ranks defined using the theory of …

We investigate the problem of testing whether d possibly multivariate random variables,
which may or may not be continuous, are jointly (or mutually) independent. Our method …

The size of the economy-wide rebound effect is crucial for estimating the contribution that
energy efficiency improvements can make to reducing greenhouse gas emissions and for …

This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …

Two recent strands of the structural vector autoregression literature use higher moments for
identification, exploiting either non-Gaussianity or heteroskedasticity. These approaches …

When quantifying the importance of supply and demand for oil price fluctuations, a wide
range of estimates have been reported. Models identified via a sharp upper bound on the …