Multivariate Modeling with Interdependent Network Data

Abstract

In the recent comparative literature the problem of simultaneously modeling func tional and diffusional effects is being penetrated from two directions. One approach emphasizes the similar problem which arises in regression-based time series analysis. A second approach focuses on the difficulties of constructing more realistic formal representations of sample unit interdependencies. Both approaches have yielded important and complementary, but distinct, insights. Here, we outline some recent methodological developments which synthesize both approaches into a comprehen sive and unified analytical framework.