All Outputs (43)

Nonparametric Regression on a Graph (2011)
Journal Article
Kovac, A., & Smith, A. D. A. C. (2011). Nonparametric Regression on a Graph. Journal of Computational and Graphical Statistics, 20(2), 432-447. https://doi.org/10.1198/jcgs.2011.09203

The 'Signal plus Noise' model for nonparametric regression can be extended to the case of observations taken at the vertices of a graph. This model includes many familiar regression problems. This article discusses the use of the edges of a graph to... Read More about Nonparametric Regression on a Graph.

A comparison of dietary patterns derived by cluster and principal components analysis in a UK cohort of children (2011)
Journal Article
Smith, A. D. A. C., Emmett, P. M., Newby, P. K., & Northstone, K. (2011). A comparison of dietary patterns derived by cluster and principal components analysis in a UK cohort of children. European Journal of Clinical Nutrition, 65(10), 1102-1109. https://doi.org/10.1038/ejcn.2011.96

Background/Objectives: The objective of this study was to identify dietary patterns in a cohort of 7-year-old children through cluster analysis, compare with patterns derived by principal components analysis (PCA), and investigate associations with s... Read More about A comparison of dietary patterns derived by cluster and principal components analysis in a UK cohort of children.

Streamlined variance calculations for semiparametric mixed models (2007)
Journal Article
Smith, A. D. A. C., & Wand, M. P. (2008). Streamlined variance calculations for semiparametric mixed models. Statistics in Medicine, 27(3), 435-448. https://doi.org/10.1002/sim.2925

Semiparametric mixed model analysis benefits from variability estimates such as standard errors of effect estimates and variability bars to accompany curve estimates. We show how the underlying variance calculations can be done extremely efficiently... Read More about Streamlined variance calculations for semiparametric mixed models.