When constructing machine learning and deep neural networks, the domain shift problem on different subjects complicates the subject independent electroencephalography (EEG) emotion recognition. Most ...

Abstract: Marginal fisher analysis (MFA) is a dimensionality reduction method based on a graph embedding framework. In contrast to traditional linear discriminant analysis (LDA), which requires the ...

In the field of statistics and probability, marginal distribution plays a critical role in understanding the behavior of variables. It is a method used to determine the probability distribution of a ...

The worldwide coronavirus disease 2019 (COVID-19) pandemic has greatly affected the power system operations as a result of the great changes of socio-economic behaviours. This paper proposes a ...

A bimodal distribution often results from a process that involves the breakup of several sources of particles, different growth mechanisms, and large particles in a system. For instance, bimodal ...

The aim of this paper is to measure dependence risk of fund market with copulas in China. Firstly, we introduce several common copula functions, then estimate parameters of copula function, and ...