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ORCIDJames O. Ramsay 0001
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- affiliation: McGill University, Department of Psychology, Montreal, Canada
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Journal Articles
- 2026
[j12]Uche Mbaka, James Owen Ramsay, Michelle Carey:
Estimating a smooth covariance for functional data. Comput. Stat. Data Anal. 213: 108255 (2026)- 2021
- [j11]Michelle Carey
, James O. Ramsay:
Fast stable parameter estimation for linear dynamical systems. Comput. Stat. Data Anal. 156: 107124 (2021) - 2018
- [j10]Mara S. Bernardi, Michelle Carey, James O. Ramsay, Laura M. Sangalli:
Modeling spatial anisotropy via regression with partial differential regularization. J. Multivar. Anal. 167: 15-30 (2018) - 2015
- [j9]James O. Ramsay:
Discussion of Secchi, Vantini and Vitelli paper. Stat. Methods Appl. 24(2): 301-304 (2015) - 2014
- [j8]L. Wang, Jiguo Cao, James O. Ramsay, D. M. Burger, C. J. L. Laporte, Jürgen K. Rockstroh:
Estimating mixed-effects differential equation models. Stat. Comput. 24(1): 111-121 (2014) - 2012
- [j7]Giles Hooker, James O. Ramsay:
Learned-loss boosting. Comput. Stat. Data Anal. 56(12): 3935-3944 (2012) - 2009
- [j6]Jiguo Cao, James O. Ramsay:
Generalized profiling estimation for global and adaptive penalized spline smoothing. Comput. Stat. Data Anal. 53(7): 2550-2562 (2009) - 2008
- [j5]M. S. Varziri, A. A. Poyton, K. B. McAuley, P. James McLellan, James O. Ramsay:
Selecting optimal weighting factors in iPDA for parameter estimation in continuous-time dynamic models. Comput. Chem. Eng. 32(12): 3011-3022 (2008) - 2007
- [j4]Jiguo Cao, James O. Ramsay:
Parameter cascades and profiling in functional data analysis. Comput. Stat. 22(3): 335-351 (2007) - 2006
- [j3]A. A. Poyton, M. S. Varziri, K. B. McAuley, P. James McLellan, James O. Ramsay:
Parameter estimation in continuous-time dynamic models using principal differential analysis. Comput. Chem. Eng. 30(4): 698-708 (2006) - 1993
- [j2]Catherine J. Dalzell, James O. Ramsay:
Computing Reproducing Kernels with Arbitrary Boundary Constraints. SIAM J. Sci. Comput. 14(3): 511-518 (1993) - 1970
- [j1]James O. Ramsay:
A Family of Gradient Methods for Optimization. Comput. J. 13(4): 413-417 (1970)
Coauthor Index
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