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Nonparametric regression techniques such as spline smoothing and local fitting depend implicitly on a parametric model. For instance, the cubic smoothing spline estimate of a regression function Î¼â€¦ (More)

- J. O. Ramsay
- 2005

Pairwise preference data are represented as a monotone integral transformation of difference on the underlying stimulus-object or utility scale. The class of monotone transformations considered isâ€¦ (More)

- J. O. Ramsay
- 2000

Differential equations have been used in statistics to define functions such as probability densities. But the idea of using differential equation formulations of stochastic models has a much widerâ€¦ (More)

- Jorge C. Lucero, Kevin G. Munhall, Vincent L. Gracco, J. O. Ramsay
- Journal of speech, language, and hearing researchâ€¦
- 1997

In order to study speech coordination we frequently average kinematic and other physiological signals. The averages are assumed to be more representative of the underlying patterns of production thanâ€¦ (More)

- L. Wang, J. Cao, J. O. Ramsay, David M Burger, C. J. L. Laporte, J. K. Rockstroh
- Statistics and Computing
- 2014

Ordinary differential equations (ODEs) are popular tools for modeling complicated dynamic systems in many areas. When multiple replicates of measurements are available for the dynamic process, it isâ€¦ (More)

- Jia-wen Cao, J. O. Ramsay
- 2010

ISSN: 0162-1459 (Print) 1537-274X (Online) Journal homepage: http://amstat.tandfonline.com/loi/uasa20 Linear Mixed-Effects Modeling by Parameter Cascading J. Cao & J. O. Ramsay To cite this article:â€¦ (More)

- M. S. Varziri, A. A. Poyton, K. B. McAuley, P. James McLellan, J. O. Ramsay
- Computers & Chemical Engineering
- 2008

Iteratively refined principal differential analysis (iPDA) is a spline-based method for estimating parameters in ordinary differential equation (ODE) models. In this article we extend iPDA for use inâ€¦ (More)

- Jiguo Cao, J. O. Ramsay
- 2007

A data smoothing method is described where the roughness penalty depends on a parameter that must be estimated from the data. Three levels of parameters are involved in this situation: Localâ€¦ (More)

- A. A. Poyton, M. S. Varziri, K. B. McAuley, P. James McLellan, J. O. Ramsay
- Computers & Chemical Engineering
- 2006

Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dynamic data.â€¦ (More)

- J. O. Ramsay
- Comput. J.
- 1970