Compartmental models of disease spread have been well studied on networks built according to the Configuration Model, i.e., where the degree distribution of individual nodes is specified, but where ...
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 ...
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 ...
Abstract: This paper applies the principles of distribution locational marginal pricing (DLMP) to unbalanced three-phase distribution networks. We first propose a linear model for AC optimal power ...
Quantum states possess nonclassical properties inaccessible from classical physics, providing a profound basis of quantum physics and a crucial resource for quantum information technology. We propose ...
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 ...
In this paper explicit expressions and some recurrence relations are derived for marginal and joint moment generating functions of generalized order statistics from Erlang-truncated exponential ...
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