Hence, we propose an asymmetric pairs regression (APR) approach to study the social network relationship. Accordingly, the computation of parameter estimations ...
Oct 10, 2011 · We propose an asymmetric pairs regression (APR) approach to study the social network relationship. Accordingly, the computation of parameter estimations is ...
In this article, we propose an asymmetric pairs regression (APR) method to analyze asymmetric social relationship in large-scale network data. Under appropriate ...
Genetic correlation analysis measures the extent to which variability in a pair of traits is influenced by the same genetic variations over the genome. In ...
ABSTRACT. Graph embedding algorithms embed a graph into a vector space where the structure and the inherent properties of the graph are preserved.
In this paper, we introduce an extension of the sinh Cauchy distribution including a double regression model for both the quantile and scale parameters.
With the increase in computing power and availability of data, there has never been a greater need to understand data and make decisions from it.
Jul 12, 2024 · We explore a multi-modal, regression-based model that endows reconstructed fiber tracts with directed and signed weights.
Mar 21, 2022 · Through dissection of the spatial contributions from six histone marks, we reveal the prevalent and asymmetric cross-prediction relationships among these marks.
The paper provides important insights into understanding the factors that influence tie strength in social networks.
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