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Abstract: This paper presents a novel semi-parametric approach for local function approximation under limited global information about the underlying data generating structure. The related technique, named hierarchical local regression (HLR), is based on an aggregate of local models with random mean parameters. The structure is hierarchical in that the local random mean parameters assume probability distributions that are de ned by common globally parameterized mean-variance functions. While the global... (Update)
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BibTeX entry: (Update)
@misc{ sadegh-hierarchical,
author = "Payman Sadegh and Henrik Öjelund",
title = "Hierarchical Local Regression",
url = "citeseer.ist.psu.edu/411118.html" }
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