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Histospline method in nonparametric regression models with application to clustered/longitudinal data

Carroll, Raymond; Hall, Peter; Apanasovich, Tatiyana; Lin, Xihong


Kernel and smoothing methods for nonparametric function and curve estimation have been particularly successful in "standard" settings, where function values are observed subject to independent errors. However, when aspects of the function are known parametrically, or where the sampling scheme has significant structure, it can be quite difficult to adapt standard methods in such a way that they retain good statistical performance and continue to enjoy easy computability and good numerical...[Show more]

CollectionsANU Research Publications
Date published: 2004
Type: Journal article
Source: Statistica Sinica


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