With the availability of massive multivariate data comes a need to develop flexible
multivariate distribution classes. The copula approach allows marginal models to be …

Understanding sectoral dynamic dependence across equity indexes is crucial for investment
decisions and designing economic policy. This study examines the sectoral dependence …

Transmission expansion planning (TEP) is facing unprecedented challenges with the rise of
integrated renewable energy resources (RES), flexible load elements, and the potential …

Soil properties are known to have high spatial variability and often fluctuate with depth. The
objective of this study was to investigate the effects of using different models to simulate the …

Objective: Daytime short nap involves individual physiological states including alertness and
drowsiness. In order to have a better understanding of the periodical rhymes of physiological …

The scenario generation method is of great significance to analysis the optimal operation of
power system with random variables. However, in case of several wind farms are contained …

We consider the problem of modeling the dependence among many time series. We build
high‐dimensional time‐varying copula models by combining pair‐copula constructions with …

The majority of finite mixture models suffer from not allowing asymmetric tail dependencies
within components and not capturing non-elliptical clusters in clustering applications. Since …

Accelerated degradation testing (ADT) is an efficient technique for evaluating the lifetime of
a highly reliable product whose underlying failure process may be traced by the degradation …

Following the 2008 financial crisis, regulatory authorities and governments provided
distressed banks with equity infusions in order to strengthen national banking systems …