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What is Multivariate Adaptive Regression Splines Regression (MARS)

Chapter 46
Handbook of Research on Global Diffusion of Broadband Data Transmission
An adaptive procedure for function approximation and regression. The structural model built by MARS considers a set of expansions in piecewise linear basis functions (BFs) of the form (x - t)+ and (t - x)+, where the subscript “+” means “positive part” whose corresponding weighs are adaptively tuned.
Published in Chapter:
Explaining Patterns of Broadband Development in OECD Countries
Inmaculada Cava Ferreruela (Polytechnic University of Valencia, Spain)
Copyright: © 2008 |Pages: 20
DOI: 10.4018/978-1-59904-851-2.ch046
Abstract
The aim of this chapter is to provide some insights about the explaining patterns of broadband deployment and adoption. This problem is addressed by examining them in the light of the results of an exhaustive cross-national empirical analysis that uses a comprehensive panel data set from the 30 OECD countries with more than 40 features. The results suggest that technological competition and the low cost of deploying infrastructures on one side, and the predisposition to use new technologies as well as some social indicators on the other, appear to be the key drivers for broadband deployment and adoption, respectively.
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