Model and Variable Selection Procedures for Semiparametric Time Series Regression

Semiparametric regression models are very useful for time series analysis. They facilitate the detection of features resulting from external interventions. The complexity of semiparametric models poses new challenges for issues of nonparametric and parametric inference and model selection that frequ...

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Bibliographic Details
Main Authors: Risa Kato, Takayuki Shiohama
Format: Article
Language:English
Published: Hindawi Limited 2009-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2009/487194