PEARSON correlation (Statistics)TIME series analysisGOODNESS-of-fit testsHYPERBOLIC spacesThis article reviews a book that focuses on the concept of energy distance, which is a statistical measure used to compare distributions of random variables. The book covers various topics related to energy ...
将经典的PARTIAL DISTANCE CORRELATION 算法运用到深度学习相似度的度量上,进而可以在 确保多个子网络的独立性;研究表征之中除了预测标签以外的信息;将多个表征进行解耦 等任务上进行应用。 Motivation 希望找一个好的,度量两个表征的相似度的工具,在两个表征的维度不相等 以及两个变量不是线性关系 情况下的相关性。
Imbalanced Alfvénic turbulence is a universal process playing a crucial role in energy transfer in space, astrophysical, and laboratory plasmas. A fundamental and long-lasting question about the imbalanced Alfvénic turbulence is how and through w
First of all, measuring absolute EQE values is non-trivial. The calibration can fail. The implementation of the integration algorithm can affect the results if the distance between measurement points is too large33. A difference between the sun simulator and the reference AM 1.5 spectrum also has...
Spatial epidemiology has been aided by advances in geographic information systems, remote sensing, global positioning systems and the development of new statistical methodologies specifically designed for such data. Given the growing popularity of these studies, we sought to review and analyze the types ...
In contrast to previous (leading order) calculations, our fits do not rule out the equalness of the color singlet wave functions of and states. The extracted values of long-distance matrix elements are employed to analyse the polarization data reported recently by the CMS Collaboration. Our ...
In order to determine the cumulative damage caused by the vehicles and the maintenance and reinforcement costs of the bridge under different load-limiting levels, a new kind of axle load redistribution method under different axle load limits was proposed based on the WIM data and the principle of...
Although the spatial dependence of spatial data was considered, SAM failed to address the heterogeneity of relationships. In this study, a spatial quantile regression (SQR) model is innovatively introduced to investigate the relationships between driving factors and land surface temperature (LST) at ...
Energy poverty is an emerging issue towards global affairs. Currently, the development of energy-related policies is becoming essential, with regard to new
Considering that the development of the digital economy requires financial support, this study chose the reciprocal of the geographical distance to economically developed cities as the instrumental variable. This study makes three main contributions: (1) Expanded Dataset: The use of data from 285 ...