Statistical Analysis of Networks - Networks , correlation and time seriesGovindaraju, Aditya
social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As ....
Springer Series in Statistics(共48册),这套丛书还有 《Weak Convergence and Empirical Processes》《Prior Processes and Their Applications》《Time Series》《Theory of Statistics》《Ten Projects in Applied Statistics》等。 喜欢读"Statistical Analysis of Network Data"的人也喜欢 ··· Social Network Ana...
“This book presents contemporary mathematical and statistical methods of networks analysis and their implementation in R, written by the experts in this field … . The monograph presents an excellent description of a wide span of operations possible on networks, and is very useful for researchers ...
Covers the foundations common to the statistical analysis of network data across the disciplines. This book contains topics that include network mapping, characterization of network structure, network sampling, and the modeling, inference, and prediction of networks, network processes, and network flows....
Neural networks in finance: an information analysis We classify financial applications of neural networks into two broad classes by stability and signal-to-noise ratio. We present two statistical measures ty... RN Kahn,AK Basu - Computational Intelligence for Financial Engineering, IEEE/IAFE 被引量...
Therefore, the statistical analysis has to be extended from graphs to weighted complex networks. If all links are of equal weight, the statistical parameters used for unweighted graphs are sufficient for the statistical characterization of the network. Therefore, the statistical parameters of the ...
The study of brain networks has developed extensively over the last couple of decades. By contrast, techniques for the statistical analysis of these networks are less developed. In this paper, we focus on the statistical comparison of brain networks in a nonparametric framework and discuss the asso...
xia Li2,3, Fujian Song4, Lun Li5, Jun Zhang6, Ge Li7, Gai-qin Pei8, Xia Qiu8 & Ke-hu Yang2,3 Because of the methodological complexity of network meta-analyses (NMAs), NMAs may be more vulnerable to methodological risks than conventional pair-wise meta-analysis....
Uniform framework for the recurrence-network analysis of chaotic time series This provides us a uniform framework for the nonsubjective comparison of the statistical measures of the recurrence networks constructed from various chaotic ... Rinku,Jacob,K.,... - 《Physical Review E》 被引量: 3发表...