Modeling and Prediction for Processes on Network Graphs

Part of the Springer Series in Statistics book series (SSS)

Whereas the previous two chapters addressed the modeling and inference of network graphs, in this chapter we consider the network graph to be known. We focus on models and associated problems of statistical inference and prediction for processes defined on network graphs.


Network Graph Reproduce Kernel Hilbert Space Basic Reproduction Number Kernel Regression Protein Function Prediction 


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Copyright information

© Springer-Verlag New York 2009

Authors and Affiliations

  1. 1.Dept. Mathematics & StatisticsBoston UniversityBostonUSA

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