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.
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© 2009 Springer-Verlag New York
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Kolaczyk, E.D. (2009). Modeling and Prediction for Processes on Network Graphs. In: Statistical Analysis of Network Data. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-88146-1_8
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DOI: https://doi.org/10.1007/978-0-387-88146-1_8
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