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Advances in Data Analysis and Classification

, Volume 13, Issue 1, pp 175–199 | Cite as

Clustering space-time series: FSTAR as a flexible STAR approach

  • Edoardo Otranto
  • Massimo MucciardiEmail author
Regular Article
  • 104 Downloads

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 (called Flexible STAR–FSTAR) is compared to the classical STAR and the space-time VAR by simulations and an application.

Keywords

Clustering Forecasting Space–time models Spatial weight matrix 

Mathematics Subject Classification

62M10 91B72 91C20 

JEL Classification

C30 C38 C50 J11 

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Economics and CRENoSUniversity of MessinaMessinaItaly
  2. 2.Department of EconomicsUniversity of MessinaMessinaItaly

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