Free Access
Issue |
ESAIM: M2AN
Volume 48, Number 5, September-October 2014
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Page(s) | 1303 - 1329 | |
DOI | https://doi.org/10.1051/m2an/2013140 | |
Published online | 28 July 2014 |
- H.T. Banks and K. Kunisch, Estimation techniques for distributed parameter systems, vol. 1. Systems & Control: Foundations & Appl. Birkhäuser Boston Inc., Boston, MA (1989). [Google Scholar]
- G.T. Brauns, R.J. Bishop, M.B. Steer, J.J. Paulos and S.H. Ardalan, Table-based modeling of delta-sigma modulators using Zsim. IEEE Trans. Computer-Aided Design Integr. Circuits Syst. 9 (1990) 142–150. [CrossRef] [Google Scholar]
- B. Delyon, M. Lavielle and E. Moulines, Convergence of a stochastic approximation version of the EM algorithm. Ann. Statis. 27 94–128 (1999). [Google Scholar]
- S. Donnet, J.-L. Foulley and A. Samson, Bayesian Analysis of Growth Curves Using Mixed Models Defined by Stochastic Differential Equations. Biometrics 66 (2010) 733–741. [CrossRef] [MathSciNet] [PubMed] [Google Scholar]
- S. Donnet and A. Samson, Parametric inference for mixed models defined by stochastic differential equations. ESAIM: PS 12 (2008) 196–218. [CrossRef] [EDP Sciences] [Google Scholar]
- R.A. Fisher, The Genetical Theory of Natural Selection. Oxford University Press (1930). [Google Scholar]
- M.B. Giles and N.A. Pierce, An introduction to the adjoint approach to design. Flow, Turbulence and Combustion 65 (2000) 393–415. [CrossRef] [Google Scholar]
- W.M. Goughran, E. Grosse and D.J. Rose, CAzM: A circuit analyzer with macromodeling. IEEE Trans. Electron. Devices 30 (1983) 1207–1213. [CrossRef] [Google Scholar]
- V. Isakov, Inverse problems for partial differential equations, vol. 127. Appl. Math. Sci., 2nd edition. Springer, New York (2006). [Google Scholar]
- J. Kaipio and E. Somersalo, Statistical and computational inverse problems, vol. 160. Appl. Math. Sci. Springer-Verlag, New York (2005). [Google Scholar]
- A. Kolmogoroff, I. Petrovsky and N. Piscounoff, Étude de l’equation de la diffusion avec croissance de la quantite de matiere et son application a un problème biologique. Bulletin de l’université d’État à Moscou, Section A I (1937) 1–26. [Google Scholar]
- E. Kuhn and M. Lavielle, Maximum likelihood estimation in nonlinear mixed effects models. Comput. Statis. Data Anal. 49 (2005) 1020–1038. [CrossRef] [MathSciNet] [Google Scholar]
- M. Lavielle, Private Communication (2012). [Google Scholar]
- M. Lavielle and K. Bleakley, Population Approach & Mixed Effects Models – Models, Tasks, Tools & Methods. Avalaible at http://popix.lixoft.net/ INRIA (2013). [Google Scholar]
- M. Lavielle and F. Mentré, Estimation of population pharmacokinetic parameters of saquinavir in HIV patients with the monolix software. J. Pharmacokinetics and Pharmacodynamics 34 (2007) 229–249. [CrossRef] [PubMed] [Google Scholar]
- J.-L. Lions, Optimal control of systems governed by partial differential equations. Translated from the French by S.K. Mitter. Springer-Verlag, New York (1971). [Google Scholar]
- L. Nie, Strong consistency of the maximum likelihood estimator in generalized linear and nonlinear mixed-effects models. Metrika 63 (2006) 123–143. [CrossRef] [Google Scholar]
- L. Nie and M. Yang, Strong consistency of mle in nonlinear mixed-effects models with large cluster size. Sankhya: Indian J. Statis. 67 (2005) 736–763. [Google Scholar]
- E. Snoeck, P. Chanu, M. Lavielle, P. Jacqmin, E.N. Jonsson, K. Jorga, T. Goggin, J. Grippo, N.L. Jumbe and N. Frey, A Comprehensive Hepatitis C Viral Kinetic Model Explaining Cure. Clinical Pharmacology & Therapeutics 87 (2010) 706–713. [CrossRef] [Google Scholar]
- A. Tarantola, Inverse problem theory and methods for model parameter estimation. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA (2005). [Google Scholar]
- M. Team, The Monolix software, Version 4.1.2. Analysis of mixed effects models. Available at http://www.lixoft.com/ LIXOFT and INRIA (2012). [Google Scholar]
- G. Yu and P. Li, Efficient look-up-table-based modeling for robust design of sigma-delta ADCs. IEEE Trans. Circuits Syst. – I 54 (2007) 1513–1528. [CrossRef] [Google Scholar]
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