A Family of Gradient Methods for Optimization. - James O. Ramsay (Comput. J., 1970)

Computing Reproducing Kernels with Arbitrary Boundary Constraints. - Catherine J. Dalzell; James O. Ramsay (SIAM J. Sci. Comput., 1993)

Parameter estimation in continuous-time dynamic models using principal differential analysis. - A. A. Poyton; M. S. Varziri; K. B. McAuley; P. James McLellan; James O. Ramsay (Comput. Chem. Eng., 2006)

Parameter cascades and profiling in functional data analysis. - Jiguo Cao; James O. Ramsay (Comput. Stat., 2007)

Selecting optimal weighting factors in iPDA for parameter estimation in continuous-time dynamic models. - M. S. Varziri; A. A. Poyton; K. B. McAuley; P. James McLellan; James O. Ramsay (Comput. Chem. Eng., 2008)

Generalized profiling estimation for global and adaptive penalized spline smoothing. - Jiguo Cao; James O. Ramsay (Comput. Stat. Data Anal., 2009)

Learned-loss boosting. - Giles Hooker; James O. Ramsay (Comput. Stat. Data Anal., 2012)

Estimating mixed-effects differential equation models. - L. Wang; Jiguo Cao; James O. Ramsay; D. M. Burger; C. J. L. Laporte; Jürgen K. Rockstroh (Stat. Comput., 2014)

Discussion of Secchi, Vantini and Vitelli paper. - James O. Ramsay (Stat. Methods Appl., 2015)

Modeling spatial anisotropy via regression with partial differential regularization. - Mara S. Bernardi; Michelle Carey; James O. Ramsay; Laura M. Sangalli (J. Multivar. Anal., 2018)

Fast stable parameter estimation for linear dynamical systems. - Michelle Carey; James O. Ramsay (Comput. Stat. Data Anal., 2021)