Clustering Space-Time Series: A Flexible STAR Approach

TitleClustering Space-Time Series: A Flexible STAR Approach
Publication TypeWorking Paper
Year of Publication2017
AuthorsE. Otranto, M. Mucciardi
Number2017_07
Keywordsclustering, forecasting, space–time models, spatial weight matrix
Abstract

The STAR model is widely used to represent the dynamics of a certain variable recorded at several locations at the same time. Its advantages are often discussed in terms of parsimony with respect to space-time VAR structures because it considers a single coefficient for each time and spatial lag. This hypothesis can be very strong; we add a certain degree of flexibility to the STAR model, providing the possibility for coefficients to vary in groups of locations. The new class of models is compared to the classical STAR and the space-time VAR by simulations and an application.

Citation Key7082
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