Advertisement

Modeling and Prediction for Processes on Network Graphs

  • Eric D. Kolaczyk
Chapter
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.

Keywords

Network Graph Reproduce Kernel Hilbert Space Basic Reproduction Number Kernel Regression Protein Function Prediction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag New York 2009

Authors and Affiliations

  1. 1.Dept. Mathematics & StatisticsBoston UniversityBostonUSA

Personalised recommendations