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Parameterized cross-validation for nonlinear regression models

✍ Scribed by Imhoi Koo; Namgil Lee; Rhee Man Kil

Book ID: 113816035
Publisher: Elsevier Science
Year: 2008
Tongue: English
Weight: 418 KB
Volume: 71
Category: Article
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2008.04.043

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## Abstract In this article, nonlinear regression models for correlated count data are examined. Correlation within clusters is modelled by a multivariate Gaussian mixing process on the log‐expectation scale. The regression parameters and the variance‐covariance parameters of the mixing process are